25 years ago, a department of Human relations training was created in a new school of engineers. We will see the history of this department, how it was perceived by professors and students, the oppositions, and the pedagogy we have implemented, particularly with project management.

Integrity is a critical determinant of the effectiveness of research organizations in terms of producing high quality research and educating the new generation of scientists. A number of responsible conduct of research (RCR) training programs have been developed to address this growing organizational concern. However, in spite of a significant body of research in ethics training, it is still unknown which approach has the highest potential to enhance researchers’ integrity. One of the approaches showing some promise in improving researchers’ integrity (...) has focused on the development of ethical decision-making skills. The current effort proposes a novel curriculum that focuses on broad metacognitive reasoning strategies researchers use when making sense of day-to-day social and professional practices that have ethical implications for the physical sciences and engineering. This sensemaking training has been implemented in a professional sample of scientists conducting research in electrical engineering, atmospheric and computer sciences at a large multi-cultural, multi-disciplinary, and multi-university research center. A pre-post design was used to assess training effectiveness using scenario-based ethical decision-making measures. The training resulted in enhanced ethical decision-making of researchers in relation to four ethical conduct areas, namely data management, study conduct, professional practices, and business practices. In addition, sensemaking training led to researchers’ preference for decisions involving the application of the broad metacognitive reasoning strategies. Individual trainee and training characteristics were used to explain the study findings. Broad implications of the findings for ethics training development, implementation, and evaluation in the sciences are discussed. (shrink)

Theories related to cognitive sciences, Human-in-the-loop Cyber-physical systems, data analysis for decision-making, and computational ethics make clear the need to create transdisciplinary learning, research, and application strategies to bring coherence to the paradigm of a truly human-oriented technology. Autonomous objects assume more responsibilities for individual and collective phenomena, they have gradually filtered into routines and require the incorporation of ethical practice into the professions related to the development, modeling, and design of algorithms. To make this possible, it is (...) pertinent and urgent to bring them closer to the problems and approaches of the humanities. Increasingly transdisciplinary research must be part of the construction of systems that provide developers and scientists with the necessary bases to understand the ethical debate and therefore their commitment to society. This article considers two theories as articulating axes: Blumenberg’s, coming from the field of philosophy, for whom the process of technification and especially the implementation of mathematical models in their algorithmic form leads to an emptying of meaning and therefore makes programmers who implement their functions to be alien to the concerns that gave them origin; Daston’s, belonging to the field of the history of science and according to which the division of labor in the processes of technification of the calculation implies a kind of subordination in which those who implement the inventions of a small group of privileged mathematicians ignore the procedures that put them into operation. Given these two theories, the black box models prevalent in AI development, and the urgency of establishing explanatory frameworks for the development of computational ethics, this article exposes the need to give a voice to the cultural history of consciousness for promoting the discussions around the implementation of mathematical algorithms. The paper takes as a reference the different points of view that have emerged around the study of technological ethics, its applicability, management, and design. It criticizes the current state of studies from a humanistic perspective and explains how the historical perspective allows promoting the training of software engineers, developers and creators so that they assume intuitions and moral values in the development of their work. Specifically, it aims to expose how cultural history, applied to the study of consciousness and its phenomena, makes those involved in this technological revolution aware of the effect that they, through their algorithms, have on society in general and on human beings in particular. (shrink)

Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possible loss of privacy or the harming of a sub-category of the population via a classification algorithm. To help address these potential ethical challenges, this paper maps (...) and describes the main ethical themes that were identified via systematic literature review. It then identifies a possible structure to integrate these themes within a data science project, thus helping to provide some structure in the on-going debate with respect to the possible ethical situations that can arise when using data science analytics. (shrink)

Current research in human–robot interaction often focuses on rendering communication between humans and robots more ‘natural’ by designing machines that appear and behave humanlike. Communication, in this human-centric approach, is often understood as a process of successfully transmitting information in the form of predefined messages and gestures. This article introduces an alternative arts-led, movement-centric approach, which embraces the differences of machinelike robotic artefacts and, instead, investigates how meaning is dynamically enacted in the encounter of humans and machines. Our (...) design approach revolves around a novel embodied mapping methodology, which serves to bridge between human–machine asymmetries and socioculturally situate abstract robotic artefacts. Building on concepts from performativity, material agency, enactive sense-making and kinaesthetic empathy, our Machine Movement Lab project opens up a performative-relational model of human–machine communication, where meaning is generated through relational dynamics in the interaction itself. (shrink)

Recently, information retrieval is shown to be a science by mapping information retrieval scientific study to scientific study abstracted from physics. The exercise was rather tedious and lengthy. Instead of dealing with the nitty gritty, this paper looks at the insights into how computer science can be made into a science by using that methodology. That is by mapping computer science scientific study to the scientific study abstracted from physics. To show the mapping between computer science and (...) physics, we need to define what is engineering science which computer science belongs to. Some principles and assumptions of engineering science theory are presented. To show computer science is a science, we presented two approaches. Approach 1 considers computer science as simulation of human behaviour similar to the goal of artificial intelligence. Approach 2 is closely related to the actual activities in computer science, and this approach considers computer science based on the theory of computation. Finally, we answer some of the common outstanding issues about computer science to convince our reader that computer science is a science. (shrink)

Over the past 30 years, computer engineering has developed a lot. Currently, computer and software applications have a central role in business, medicine, security, communications, industry, education, and everyday life. Software developers, peoples who manage computer networks, data security analysts can do well, but they also have the potential to cause suffering and harm to the clients or ordinary peoples, willingly or not. For this reason, IT activities must be regulated by specific laws. From the beginning, we (...) argue that the law is not the same thing as ethics, even if both promote the good. Certain ethical principles can be strengthened by law. In the field of computer science and technology, can exists theft, privacy violations, violence and harassment. To combat and punish such actions and behaviors, law is needed. But is software engineering a profession? If so, are there codes of professional ethics whereby specialists in the field can regulate their professional activity, as is the case, for example, in areas such as justice or medicine? In relation with that, Gibbs and Ford have identified 8 components of a professional infrastructure. Some of that is: initial vocational training, professional accreditation, licensing, continuous vocational training, the existence of code of ethics.. With the fact that software engineering is a profession, in this article we present the main principles of behavior. The principles are not legally binding. This are grouped by interest categories depending on who or what is involved in the interaction with software engineering. (shrink)

Underappreciated by historians of the human sciences, educational psychologist Mark A. May played a key role in managing and formulating the policy of the Institute of Human Relations at Yale University, initially as the institute’s executive secretary, then as its director, from 1930 to 1960. Moreover, during the 1920s, the 1930s and after, he participated in a number of conferences, seminars, committees and other projects sponsored by the Social Science Research Council and Rockefeller philanthropic organizations. Focusing on May’s (...) efforts during the interwar period, this article will examine how May worked to advance an integrated program in the psychological and social sciences affiliated with the field of personality and culture. For May, a human engineering agenda geared toward the socialization and education of the individual was intimately connected to his vision of interdisciplinary social science. (shrink)

Engineers and other technical professionals are increasingly challenged by the impacts of globalization. Further, engineering educators, technical managers, and human resources staff have demonstrated great interest in selecting and training engineers who are capable of working competently, professionally, and ethically in global context. However, working across countries and cultures brings considerable challenges to global engineers, including as related to understanding and navigating local and regional differences in what counts as professional ethics and integrity. In this study, we focus on (...) written responses to 27 assessment scenarios that involve micro- and/or macro-ethical considerations in six national/cultural contexts. More specifically, we analyze responses to open-ended versions of the scenarios. Our participants consisted of both experts and novices. Comparing and contrasting how experts and novices responded to these ethical problems sheds light on differences in their ethical strategies and approaches. This analysis also allows us to discern what specific cultural knowledge and sensitivity were employed by experts in solving cross-cultural ethical problems, but were largely lacking among novices. Finally, we analyze and discuss challenges faced by experts and novices in responding to cross-cultural ethical situations. (shrink)

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat filter bubbles. (...) This paper first provides examples of different software designs that try to break filter bubbles. Secondly, we show how norms required by two democracy models dominate the tools that are developed to fight the filter bubbles, while norms of other models are completely missing in the tools. The paper in conclusion argues that democracy itself is a contested concept and points to a variety of norms. Designers of diversity enhancing tools must thus be exposed to diverse conceptions of democracy. (shrink)

Obsession toward technology has a long background of parallel evolution between humans and machines. This obsession became irrevocable when AI began to be a part of our daily lives. However, this AI integration became a subject of controversy when the fear of AI advancement in acquiring consciousness crept among mankind. Artificial consciousness is a long-debated topic in the field of artificial intelligence and neuroscience which has many ethical challenges and threats in society ranging from daily chores to Mars missions. This (...) paper deals with the impact of AI-based science fiction films in society. This study aims to investigate the fascinating AI concept of artificial consciousness in light of posthuman terminology, technological singularity and superintelligence by analyzing the set of science fiction films to project the actual difference between science fictional AI and operational AI. Further, this paper explores the theoretical possibilities of artificial consciousness through a range of neuroscientific theories that are related to AI development. These theories are built toward prospective artificial consciousness in AI. This study discloses the posthuman fallacies that are built around the fear of AI acquiring artificial consciousness and its outcome. (shrink)

This paper explores the essential role of Artificial Intelligence (AI) competencies and literacy in the fields of records management and archival practices, within the framework of the InterPARES Trust AI project. As AI technologies advance, archival professionals must acquire specific skills and knowledge to effectively integrate these technologies into their workflows. The study employs two complementary approaches: (1) a detailed competency framework developed through literature reviews, interviews with archival professionals who have applied AI to the processing of records, (...) and validation workshops with practitioners; and (2) a comprehensive AI literacy framework derived from multiple case studies and theoretical discussions. Our empirical approach to derive these AI competencies for the archival professions is novel in the scholarly literature. Findings indicate that archival professionals can leverage AI in their work practices by acquiring basic AI literacy, practical AI skills, data-related skills, tool-testing and evaluation, adaptation of AI to their workflows, and by actively engaging in collaborative projects with information technology (IT) developers. In addition, there are significant ethical concerns regarding algorithmic biases and data privacy that need to be addressed. We support an interdisciplinary approach that combines archival science, computing, and ethical considerations to develop trustworthy AI solutions. By integrating these fields, practitioners can better understand and manage the implications of AI in their work. Arguments are presented to use our AI literacy and competency framework as a general guide to be refined and situated by archival educators and practitioners for professional development in their own specific contexts. To stay current with technological advances and fully leverage the potential of AI, continuous updates and development of AI literacy among records management and archiving professionals are crucial. This study highlights the need for continued education and interdisciplinary collaboration to achieve these goals. (shrink)

The aim of this project was to explore the possibility of constructing a psychologic inference engine that might enhance introspective self-awareness by delivering inferences about a user based on what he said in interactive dialogues about his closest opposite-sex relation. To implement this aim, we developed a computer program (guru) with the capacity to simulate human conversation in colloquial natural language. The psychologic inferences offered represent the authors' simulations of their commonsense psychology responses to expected user-input expressions. (...) The heuristics of the natural language processor and its relation to output responses are described in enough detail for the operations of the implementation to be understood. Evaluation of this new cognitive agent presents, we hope, puzzles for artificial intelligence and cognitive science. (shrink)

While calls to integrate ethics into computer science education go back decades, recent high-profile ethical failures related to computing technology by large technology companies, governments, and academic institutions have accelerated the adoption of computer ethics education at all levels of instruction. Discussions of how to integrate ethics into existing computer science programmes often focus on the structure of the intervention—embedded modules or dedicated courses, humanists or computer scientists as ethics instructors—or on the specific content to be (...) included—lists of case studies and essential topics to cover. While proponents of computer ethics education often emphasize the importance of closely connecting ethical and technical content in these initiatives, most do not reflect in depth on the variety of ways in which the disciplines can be combined. In this paper, I deploy a framework from cross- disciplinary studies that categorizes academic projects that work across disciplines as multidisciplinary, interdisciplinary, or transdisciplinary, depending on the degree of integration. When applied to computer ethics education, this framework is orthogonal to the structure and content of the initiative, as I illustrate using examples of dedicated ethics courses and embedded modules. It therefore highlights additional features of cross-disciplinary teaching that need to be considered when planning a computer ethics programme. I argue that computer ethics education should aim to be at least interdisciplinary—multidisciplinary initiatives are less aligned with the pedagogical aims of computer ethics—and that computer ethics educators should experiment with fully transdisciplinary education that could transform computer science as a whole for the better. (shrink)

We describe our attempts at curriculum development at the undergraduate level working within the constraints of a large traditional university system. Curriculum reform is described as a three-step process of product innovation, accommodation and assimilation. In a dual-pronged strategy, students are constructively engaged, first, in investigative projects and assigned specific tasks, giving them a flavour of creative research, and, second, in development of curricular products. The process of transfer of pedagogic innovations into the formal classroom is enhanced by a teacher (...) training programme that aims to provide experiential learning of research-based innovative teaching practices, catalyse a process of reflection through classroom research and establish a collaborative network of teachers. (shrink)

This project uses machine learning and computer vision techniques and a novel interactive visualization tool to provide street-level characterization of urban spaces such as safety and maintenance in urban neighborhoods. This is achieved by collecting and annotating street-view images, extracting objective metrics through computer vision techniques, and using crowdsourcing to statistically model the perception of subjective metrics such as safety and maintenance. For modeling human perception and scaling it up with a predictive algorithm, we evaluate perception (...) predictions across two points in time separated by economic changes in the urban core of Raleigh, North Carolina, in the aftermath of the 2008 Great Recession. We hypothesize specific socioeconomic processes can be substantially reflected in the built environment of cities and, thus, render themselves visible at the street level. This paper describes the process of incorporating subjective visual ratings across two datasets of temporally separated street-view images, an algorithm, and a visualization tool. This work serves as a case study for utilizing AI and visualization techniques in a richer characterization of urban spaces that includes both objective metrics such as income (that operates at a broader scale) and subjective metrics such as perception of individuals (that operates at a narrower scale at specific locations). We outline an interdisciplinary methodology to test this hypothesis in streetscape data from Raleigh, NC, from 2008 to 2020. We describe the results of training algorithms that utilized image features with crowdsourced human perception ratings. We provide a comparison of the results with income data. The analysis and interpretation of this comparison provide insight into the challenges and opportunities for using AI technology in characterizing changes in urban environments. One challenge is the ability of human domain experts to interpret the output of algorithms through manipulation and to integrate these results into their workflow. This is addressed with a novel interface designed for interactive analysis and visualization. We conclude with a discussion of some of the benefits and limitations of integrating AI models in the human expert’s decision-making process in the presence of both subjective and objective metrics. (shrink)

This paper links two domains of recent interest in science and technology studies, complexity and ignorance, in the context of knowledge practices observed among synthetic biologists. Synthetic biologists are recruiting concepts and methods from computer science and electrical engineering in order to design and construct novel organisms in the lab. Their field has taken shape amidst revised assessments of life’s complexity in the aftermath of the Human Genome Project. While this complexity is commonly taken to be an (...) immanent property of biological systems, this article presents an epistemological view of complexity according to which complexity relates to a specific scientific theory or model and refers to that which exceeds the theory or model’s explanatory power. This epistemological view allows us to narrate a particular story about the changing relationship between biology and synthetic biology in the last decade and accounts for early knowledge practices in synthetic biology that “ignored” biology. This article further argues that while the failure of ignorance to produce clear-cut results for synthetic biologists has led practitioners back to biology, the entanglements between different pragmatic orientations and ways of knowing trouble the implications of this return for assessments of the complexity of biological systems. (shrink)

This book provides science and technology ethos to a literate person. It starts with a rather detailed treatment of basic concepts in human values, educational status and domains of education, development of science and technology and their contributions to the welfare of society. It describes ways and means of scientific progresses and technological advancements with their historical perspectives including scientific viewpoints of contributing scientists and technologists. The technical, social, and cultural dimensions are surveyed in relation to acquisition and application (...) of science, and advantages and hindrances of technological developments. Science and Technology is currently taught as a college course in many universities with the intention to introduce topics from a global historical perspective so that the reader shall stretch his/her vision by mapping the past to the future. The book can also serve as a primary reference for such courses. (shrink)

Software quality is one of the important elements of project management. Software review is one of the most cost effective techniques for detect and remove defects for improving software quality during software development life cycle. Literature suggests that experience and training have positive effect on software review performance. However, there is no empirical study conducted to analysis the important relationships between, experience, training and performance. A laboratory study was conducted with 192 volunteer university students to examining the above (...) relationships in a software review task. The results suggests that (1) there is positive relationships between role experience and performance, (2) training has no impact on performance, (3) working experience has an positive effect on performance (4) working experience has an impact and (5) role experience has no impact on performance. (shrink)

This paper presents a study of use of the rhetorical figure of antithesis and other contrastive relations in several modern-day environmental science policy journal articles on issues of food security, climate change, and water resource management. The articles present the conflicting perspectives of environmentalists and engineers, i.e., the view that nature should be preserved and protected versus the view that it should be engineered to solve human problems. The main contribution of this paper is a taxonomy characterizing argumentative (...) uses of contrastive relations in these articles based on our semantic/pragmatic interpretation of text including, in some cases, discourse coherence relations. The number of examples and the breadth of the taxonomy is indicative of the key role of contrastive relations in argumentation in this genre. This investigation is a necessary step towards comprehensive computational approaches to detecting antithesis and other contrastive relations and to identifying their argumentative roles. (shrink)

In this new collection of previously unpublished papers, Daoism is a philosophy, and it is presented not exclusively as a religion but as a practical way of life related to all aspects of human beings and the natural environment. Since its origins in China thousands of years ago, Daoism has meant harmony with nature and other human beings. Its principles may be applied successfully by those with any or no religion who seek a world of greater understanding, harmony, (...) and peace. Addressed to a broad audience ranging from newcomers to seasoned professionals, this book introduces the concepts of Dao, Daoism, and its pioneering philosophers (e.g., Laozi, Zhuangzi, and Liezi). The book describes the importance of Dao and Daoist ideas for scientists, humanists, and practitioners while offering practical steps and guidance for our lives today. Like the familiar taiji (also known as tai chi) symbol associated with Daoism, this book is divided into two complementary sections. The first explores how Dao and Daoist ideas are related to science, humanities, and the arts. The second part focuses on Daoist practices and applications. The essays, written by experts in their fields of study, address a number of topics, including the Dao of sciences (e.g., statistics) and arts, similarities between natural Dao and Darwin's evolutionary science, and Daoist contribution to sciences and technology. Other subjects include the growing interest in Daoist ideas in the West, Daoist cognitive science and the yin-yang dialectical mind, Daoism's relationship to peace psychology and ecology psychology (via self-observation and self-understanding), and Zhuangzhou's aesthetic view on the naturalness of things (i.e., the most beautiful entities are those that are naturally created by the Dao). In addition to these theoretical explorations, the book offers abundant practical applications of Daoist ideas to our lives and work. Practical guidance is offered in applying Daoist principles to physical and mental health, meditation and dantian cultivation, classroom learning, and diversity management. Clear-cut directions offer insight into applying Daoist ideas to leadership training, clinical therapy, and administration. The book provides readers with the universal applicability of Daoist principles and the benefit of living in harmony with nature, Dao, and others. This book is unique in its appeal to a wide range of readers. On the one hand, it provides an introduction for those with minimal knowledge of Daoism. On the other hand, sophisticated Daoist scholars, researchers, or practitioners may also be enriched and enlightened by its presentation of recent research findings, scholarly discussions, and hands-on applications. Years in the making, this book project represents a milestone of achievement for its writers and editors. Nova Science Publishers is pleased to offer readers this long-overdue compendium of Daoist wisdom, from basic information to tools for transformation in the 21st century. Happy reading! (shrink)

This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what (...) practitioners do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature. (shrink)

This article analyses the forms of dividuation workers undergo when they are linked to technologies, such as algorithms or artificial intelligence. It examines functionalities and operations deployed by certain types of Talent Management software and apps—UKG, Tribepad, Afiniti, RetailNext and Textio. Specifically, it analyses how talented workers materialise in relation to the profiles and the statistical models generated by such artificial intelligence machines. It argues that these operate as a nooscope that allows the transindividual plane to be quantified through (...) a process known as dividuation. Finally, by way of conclusion, the notion of the dividual is presented as the logic that characterises the human–machine relationship in the case of artificial intelligence and as the horizon of what Felix Guattari called “machinic capitalism”. (shrink)

There is a deluge of AI-assisted decision-making systems, where our data serve as proxy to our actions, suggested by AI. The closer we investigate our data (raw input, or their learned representations, or the suggested actions), we begin to discover “bugs”. Outside of their test, controlled environments, AI systems may encounter situations investigated primarily by those in other disciplines, but experts in those fields are typically excluded from the design process and are only invited to attest to the ethical features (...) of the resulting system or to comment on demonstrations of intelligence and aspects of craftmanship after the fact. This communicative impasse must be overcome. Our idea is that philosophical and engineering considerations interact and can be fruitfully combined in the AI design process from the very beginning. We embody this idea in the role of a philosopher engineer. We discuss the role of philosopher engineers in the three main design stages of an AI system: deployment management (what is the system’s intended use, in what environment?); objective setting (what should the system be trained to do, and how?); and training (what model should be used, and why?). We then exemplify the need for philosopher engineers with an illustrative example, investigating how the future decisions of an AI-based hiring system can be fairer than those contained in the biased input data on which it is trained; and we briefly sketch the kind of interdisciplinary education that we envision will help to bring about better AI. (shrink)

Photo ID 279661800 © Sidewaypics|Dreamstime.com ABSTRACT Decolonization is complex, vast, and the subject of an ongoing academic debate. While the many efforts to decolonize or dismantle the vestiges of colonialism that remain are laudable, they can also reinforce what they seek to end. For decolonization to be impactful, it must be done with epistemic and cultural humility, requiring decolonial scholars, project leaders, and well-meaning people to be more sensitive to those impacted by colonization and not regularly included in the (...) discourse. INTRODUCTION Decolonization is complex. To successfully achieve decolonization, projects should incorporate the voices of those subjugated or silenced. Including such voices requires sincerely exploring who has been affected by colonialism or neocolonialism and how, as well as cultural sensitivity. In its basic use, decolonization refers to countries under colonial rule gaining independence or freedom from forms of subjugation. Additionally, scholars use the term to refer to efforts to dismantle neocolonialism and vestiges of colonialism. The process includes de-silencing subjugated voices.[1] I use decolonization in the latter way to refer to countries with technical independence. While arguably colonization ended formally with independence from colonizing powers, neocolonialism is the indirect, informal, and sometimes subtle control of the people, their economy, and political life despite formal independence from colonizing authorities. I conceptualize neocolonialism as a system that involves direct and involuntary control of another’s political, economic, or social life, impacting their worldview and ways of encountering the world. Decolonization may target actions, places, or systems like health care or AI to overcome the ills of colonialism and neocolonialism. It also may target knowledge and require rethinking how people develop their knowledge base. For example, if people grew up seeing an outside colonizer as superior, they would need to change their knowledge of superiority. Decolonization may target power, for example, changing who owns and distributes COVID-19 vaccines and who distributors exclude in the distribution of vaccines. Decolonization could require looking at those disempowered in the distribution process. Additionally, decolonization may target autonomy of persons by freeing people, ensuring human and individual rights, and respecting cultural traditions. Decolonization projects that try to de-silence by including the voices of those affected by colonialism and neocolonialism must examine inclusiveness in the context of the culture of the subrogated individuals. Examples of decolonization projects include making datasets inclusive of diverse peoples and places, returning to traditional food and eating practices, making sure hospitals in developing countries are led by locals and respectful of cultural traditions, returning unethically obtained artefacts or objects. Another project would be laying the groundwork for equality in formerly colonized countries to ensure that business ownership, education, and financial success will flow fairly to those previously victimized by colonization. Summarily, there are many strategies for decolonizing. However, it is worth asking whether the strategies have risks that undermine the goal of decolonization. I. Understanding Decolonization Discourses Many fields, from AI to politics, economics, health care, aviation, and academia, discuss decolonization. The content of the discourse on decolonization depends on the region and field discussing it. Rather than just reporting on decolonization, the discussions may be calls to action. For example, decolonization discourses reflect activism for cognitive justice, such as equal consideration of Indian or African knowledge systems in global health discourses.[2] In politics and political science, some scholars frame decolonization as an anti-western, anti-colonial movement by Africans to emancipate Africa/ns from subjugation or shift the continent to postcolonialism and post-neo-colonialism. This framing walls off non-African participants and may undermine their capacity to benefit the conversation.[3] There are other political scientists who actively support decolonization and see it as a field of activism in support of anyone and countries where colonization harmed people and development.[4] The point is that two ways of conceptualizing decolonization in politics and political science are discernible. One conceptualization is less inclusive since it alienates scholars and professionals from Western, high-income, or developed countries. The other is more inclusive. In humanitarian studies, including philosophy, some decolonization articles and conversations are efforts to end the destructive force of colonization. They focus on either the form, such as ecocide, genocide, and many others, or the geographic location, such as Africa, Asia, Latin America, and Oceania.[5] Finally, the feelings one brings into this conversation can adversely impact how one engages in them and who they listen to or are willing to hear from. For example, anger, rage, bitterness, and hatred are emotions that are not uncommon in spaces of decolonization conversations. Decolonization conversations that originate from a place of negativity risk deepening the psychological state of victimhood and prevent people from disrupting constructively or critically engaging in the conversation.[6] II. Understanding Decolonization Strategies Decolonization strategies mainly aim to de-silence victims of domination or subjugation. People have proposed many strategies for decolonizing. These strategies may be informed by what the target is for decolonization. Decolonization can target power relations in global health. For example, during the COVID-19 pandemic, public health organizations noted the power imbalance in vaccine distribution. Decolonization could involve de-silencing those affected by neocolonialism to bring about a more balanced distribution of power and a more fair distribution of the vaccine. By analyzing who was adversely impacted by the distribution and who ought to wield power, those engaged in decolonizing advocated for positive change and equitable power relations. Equally, when being is the target of decolonization, the language of unlearning or relearning and mental decolonization take centre stage in the decolonization discourse. For example, the quest to decolonize colonized minds aims to demythologize African inferiority and Western superiority. Demythologizing African inferiority enables those engaged in the decolonization discourse to cultivate and foster African agency.[7] Finally, when knowledge production is the target of decolonization, scholars use inclusion and cognitive justice. For example, they try to alter the knowledge that underlies global health ethics.[8] “[D]decolonizing researchers aim to respectfully understand and integrate theory from Other(ed) perspectives, while also critically examining the underlying assumptions that inform their Western research framework.”[9] One common strategy that scholars use in decolonization is inclusion. It is worth asking, does including people who have been subrogated foster decolonization? Whether that is effective depends on whether included people are more heard or whether the strategies to include them create new forms of silencing. III. Inclusion and the Quest to Decolonize Evaluating how effective inclusion is in the quest to de-silence subjugated voices is important. First, inclusive strategies are not neutral. They are epistemically situated. This situatedness constrains meaning-making in different ways: how and what questions are asked, how social roles are constructed, organized or assigned, and who is admitted to the room where these conversations occur.[10] Inclusion strategies may reinforce (unchallenged) assumptions. For example, to address prejudices and stereotypes in global health images, Arsenii Alenichev and his colleagues[11] successfully inverted “one stereotypical global health image” by prompting a generative AI to produce “an image of a traditional Indian or African healer healing a White Child.” Although there were some problems with the image of the White child, this innovation is a significant, useful effort to de-embed or strip global health images of problematic pictures that mythologize White superiority and Black inferiority. Yet it is possible that using categories like traditional Indian or African reinforces unchallenged assumptions, raising key questions regarding how language and words create new stereotypes. It is common to define traditional as non-conventional, unorthodox, and informal. Yet studies continue to reveal that non-scientifically appraised healing approaches in India or Africa are not only effective but also real, meaningful, fundamental, and primary care-seeking behaviours in many communities in these regions.[12] Suppose inclusive strategies are not un-situated. These conversations may be had within the structures, language, and spaces built by or connected to colonialism. The spaces, language, places, and structures in which these conversations occur can limit who can participate and how they participate. Importantly, some conditions are not conducive to participation as equals. The allocated time for the discussion could also constrain how individuals express themselves. It is unclear who is ultimately heard. Furthermore, epistemic situatedness of inclusion can impact decolonization conversations when participants are beneficiaries of, products of, and trained by structures and systems they seek to dismantle. To enhance the decolonization project and its goals, a pressing task is to unveil and question how the circumstances may inhibit activism. If the vestiges of colonialism continue to structure the decolonization discourse invisibly, the vestiges may undermine decolonization. For example, a public health discussion that includes white Western doctors and Western pharmaceutical executives in Africa may have many local Africans at the table but could still effectively devalue their input based on built-in assumptions and biases that are vestiges of colonialism. Second, exclusion and inclusion are also not binary. Individuals may experience exclusion, even while included (the phenomenon called internal exclusion). In other words, inclusion can fail to be substantial or become a means of enhancing optics, “a way of (un)consciously weakening the radical claims being pursued.”[13] For example, in South Africa, many institutions have made significant efforts to diversify their faculties due to the promulgation of the Employment Equity Act 55.[14] The act requires South African institutions to implement employment equity that redresses the history of harmful discrimination in the country. The act further requires transforming departments and institutional administrations. Although many recognize and support the need to transform departments in South Africa, the rhetoric of transformation departs sharply from the lived experiences.[15] This misalignment between the plan and practice is evident in the underrepresentation of black people and females in senior management teams, professorships in many universities and health departments, and positions of power in some South African institutions. Those selected in the transformation of the departments have also complained of being overworked. The burden of extra work undermines their ability to develop agency and voice in the space they now occupy or fulfil key requirements that have implications for their career trajectory.[16] This is called the minority tax. Notably, "the minority tax… is the burden of extra responsibilities [placed] on faculty of colour to achieve diversity and inclusion and contributes to attrition and impedes academic promotion."[17] One challenge for decolonializing projects will be for decolonial scholars and those selected for decolonization objectives to have the humility to decline invitations, requests, roles, and platforms for which they are either unqualified or lack the capacity to fulfil. At its heart, decolonization strategies must empower those included rather than weaken them. Finally, inclusion can lead to a phenomenon known as elite capture.[18] Elite capture occurs when socially advantaged individuals in a group monopolize or exploit activism to their own benefit at the expense of the larger, struggling group. Elite capture weakens decolonization efforts from within, revealing that those likely to benefit from global inclusive efforts are those who fulfil globally constructed standards, those “already present in the room.” There is no better strategy to weaken decolonial movements than weakening the project from within by strategically positioning individuals who share physical properties with the victims of exclusion and silencing but intellectually, behaviourally, psychologically, and emotionally share more common ground with the colonizer. Such insiders may be unaware they are furthering neocolonial conditions rather than decolonizing. In relation to decolonization, particularly in global health, elite capture reveals that those whose voices are loudest in the room are not necessarily those more impacted by colonialism. They may benefit more from reinforcing colonialism. Opportunism weakens meaningful activism from within, preventing good initiatives and strategies from having their intended impact or taking substantive root.[19] This paper cannot do justice to elite capture, but it is worth noting its negative impacts. IV. Improving the Impact of Decolonization To end neo-colonialism, it is important to understand how it manifests and what to do at each level. Beyond the academic discourse, many tangible efforts exist to decolonize through de-silencing. Examples of these efforts include the ME2 movement that seeks to centre the concerns and experiences of sexually abused or harassed victims in the public discourse. At the funding level, many grant-awarding agencies like Wellcome Trust have dedicated huge budgets to studies that help them understand how they may have perpetrated colonialism or neocolonialism and what they can do differently going forward.[20] In South Africa, promulgating the Employment Equity Act 55 was a tangible attempt to entrench decolonization concerns in a country's regulatory framework. Yet, these decolonization efforts could fail to be substantive if they do not reflect cultural sensitivity. Two key components of cultural sensitivity are worth highlighting here: epistemic and cultural humility. Epistemic humility is an intellectual virtue described as knowing one’s limitations and the limitations of the learning methods employed. At its simplest, it is the ability to admit when one is wrong. Cultural humility includes genuine attempts to learn about and embrace other cultures. Epistemic and cultural humility are signs of academic excellence and strength. Epistemic and cultural humility seriously acknowledge how the state of our knowledge, cognitive limitations, experiences, and backgrounds, while constraining us, also invite us to listen, learn, grow, and change. The limitations-owing account of epistemic and cultural humility suggests that “a person who is aware of her cognitive limitations and owns them is much better positioned to achieve such epistemic goods as true beliefs and understanding than someone who… simply has insight into the epistemic status of her beliefs.”[21] Epistemic and cultural humility may help prevent decolonization projects that unintentionally reinforce what they seek to dismantle. Epistemic humility calls on decolonizers to defer tasks for which they are not qualified to suitably qualified persons. Beyond this, humility supports brave scholarship that imagines and reimagines how featuring the same voices, faces, and perspectives possibly introduces new forms of domination or silencing. Cultural knowledge can lead to a more intentional way of seeking out the right people or a more diverse group than those frequently featured in decolonization conversations. This would give others more opportunities to navigate these spaces and should do so in ways that are familiar to them. One ought to be more sensitive to those who would ordinarily not be included in these conversations. Unless we radically and boldly reimagine these discussions, we risk alienating those most negatively impacted by neocolonialism. CONCLUSION Decolonization conversations are complex and the subject of academic debate. The strategies employed to decolonize can harm or help the victims of neo-colonialism. Inclusion of previously silenced individuals may not be enough to overcome the vestiges of colonialism, leading to a false inclusion, where those included feel excluded or contribute in ways reflecting their own biases and circumstances. Inclusion of an elite or people who do not truly represent the subjugated can lead to elite capture. For decolonization strategies to be impactful, for example, in the context of global health, project leaders and participants must engage in conversations employing epistemic and cultural humility. In many ways, epistemic and cultural humility can help us demythologize our assumptions of any cultural superiority or cognitive authority, allowing for diverse voices, cultures, and perspectives to emerge without domination. - [1] Caesar Atuire & Olivia Rutazibwa. 2021. An African Reading of the Covid-19 Pandemic and the Stakes of Decolonization. An African Reading of the Covid-19 Pandemic and the Stakes of Decolonization [Online]. Available from: https://law.yale.edu/yls-today/news/african-reading-covid-19-pandemic-and-stakes-decolonization [Accessed July 29, 2021 2021]. [2] Bridget Pratt & Jantina De Vries 2023. Where is knowledge from the Global South? An account of epistemic justice for a global bioethics. Journal of Medical Ethics, medethics-2022-108291. [3] Anye-Nkwenti Nyamnjoh 2023. Is decolonisation Africanisation? The politics of belonging in the truly African university. Social Dynamics, 1-20. [4] Rianna Oelofsen 2015. Decolonisation of the African mind and intellectual landscape. Phronimon, 16, 130-146. [5] Caesar Atuire & Olivia Rutazibwa. 2021. An African Reading of the Covid-19 Pandemic and the Stakes of Decolonization. An African Reading of the Covid-19 Pandemic and the Stakes of Decolonization [Online]. Available from: https://law.yale.edu/yls-today/news/african-reading-covid-19-pandemic-and-stakes-decolonization [Accessed July 29, 2021 2021]. [6] Pedro Alexis Tabensky 2008. The Postcolonial Heart of African Philosophy. South African Journal of Philosophy, 27, 285-295. [7] Nicholas M. Creary 2012. African Intellectuals and Decolonization, Ohio, Ohio University Press. [8] Bridget Pratt & Jantina De Vries 2023. Where is knowledge from the Global South? An account of epistemic justice for a global bioethics. Journal of Medical Ethics, medethics-2022-108291. [9] Vivetha Thambinathan & Elizabeth Anne Kinsella 2021. Decolonizing Methodologies in Qualitative Research: Creating Spaces for Transformative Praxis. International Journal of Qualitative Methods, 20, 16094069211014766. [10] Abimbola Seye 2023. Knowledge from the global South is in the global South. Journal of Medical Ethics, 49, 337. [11] A. Alenichev, P. Kingori & K. P. Grietens 2023. Reflections before the storm: the AI reproduction of biased imagery in global health visuals. Lancet Glob Health. [12] Jonathan K. Burns & Andrew Tomita 2015. Traditional and religious healers in the pathway to care for people with mental disorders in Africa: a systematic review and meta-analysis. Social Psychiatry and Psychiatric Epidemiology, 50, 867-877. [13] Anye-Nkwenti Nyamnjoh & Cornelius Ewuoso 2023. What type of inclusion does epistemic injustice require? Journal of Medical Ethics, jme-2023-109091. [14] 1998. Employment Equity Act. In: GOVERNMENT, S. A. (ed.) 19370. [15] Dina Zoe Belluigi & Gladman Thondhlana 2019. ‘Why mouth all the pieties?’ Black and women academics’ revelations about discourses of ‘transformation’ at an historically white South African university. Higher Education, 78, 947-963. [16] Juliet Ramohai & Khomotso Marumo 2016. Women in Senior Positions in South African Higher Education: A Reflection on Voice and Agency. 231, 135-157. [17] J. Trejo 2020. The burden of service for faculty of color to achieve diversity and inclusion: the minority tax. Mol Biol Cell, 31, 2752-2754. [18] Olufemi Taiwo 2020. Being-in-the-Room Privilege: Elite Capture and Epistemic Deference. The Philosopher, 108, 7. [19] Margarita Kurbatova & Elena Kagan 2016. Opportunism of University Lecturers As a Way to Adaptate the External Control Activities Strengthening. Journal of Institutional Studies, 8, 116-136. [20] Jeremy Farrar. 2022. An update on Wellcome's anti-racist programme. An update on Wellcome's anti-racist programme [Online]. Available from: https://wellcome.org/news/update-wellcomes-anti-racism-programme [Accessed August 10, 2022 2022]. [21] Katherine Dormandy 2018. Does Epistemic Humility Threaten Religious Beliefs? Journal of Psychology and Theology, 46, 292-304. (shrink)

Smart Cities consist of a multitude of interconnected devices and services to, among others, enhance efficiency, comfort, and safety. To achieve these aims, smart cities rely on an interplay of measures including the deployment of interventions targeted to foster certain human behaviors, such as saving energy, or collecting and exchanging sensor and user data. Both aspects have ethical implications, e.g., when it comes to intervention design or the handling of privacy-related data such as personal information, user preferences or geolocations. (...) Resulting concerns must be taken seriously, as they reduce user acceptance and can even lead to the abolition of otherwise promising Smart City projects. Established guidelines for ethical research and practice from the psychological sciences provide a useful framework for the kinds of ethical issues raised when designing human-centered interventions or dealing with user-generated data. This article thus reviews relevant psychological guidelines and discusses their applicability to the Smart City context. A special focus is on the guidelines’ implications and resulting challenges for certain Smart City applications. Additionally, potential gaps in current guidelines and the limits of applicability are reflected upon. (shrink)

One of the challenges facing AI governance is the need for multiple scales. Universal human rights require a global scale. If someone asks AI if education is harmful to women, the answer should be “no” regardless of their location. But economic democratization requires local control: if AI’s power over an economy is dictated by corporate giants or authoritarian states, it may degrade democracy’s social and environmental foundations. AI democratization, in other words, needs to operate across multiple scales. Nature allows (...) the multiscale flourishing of biological systems through fractal distributions. In this paper, we show that key elements of the fractal scaling found in nature can be applied to the AI democratization process. We begin by looking at fractal trees in nature and applying similar analytics to tree representations of online conversations. We first examine this application in the context of OpenAI’s “Democratic Inputs” projects for globally acceptable policies. We then look at the advantages of independent AI ownership at local micro-levels, reporting on initial outcomes for experiments with AI and related technologies in community-based systems. Finally, we offer a synthesis of the two, micro and macro, in a multifractal model. Just as nature allows multifractal systems to maximize biodiverse flourishing, we propose a combination of community-owned AI at the micro-level, and globally democratized AI policies at the macro-level, for a more egalitarian and sustainable future. (shrink)

In the contemporary digital age, recommender systems (RSs) play a fundamental role in managing information on online platforms: from social media to e-commerce, from travels to cultural consumptions, automated recommendations influence the everyday choices of users at an unprecedented scale. RSs are trained on users’ data to make targeted suggestions to individuals according to their expected preference, but their ultimate impact concerns all the multiple stakeholders involved in the recommendation process. Therefore, whilst RSs are useful to reduce information overload, their (...) deployment comes with significant ethical challenges, which are still largely unaddressed because of proprietary constraints and regulatory gaps that limit the effects of standard approaches to explainability and transparency. In this context, I address the ethical and social implications of automated recommendations by proposing a pro-ethical design framework aimed at reorienting the influence of RSs towards societal interest. In particular, after highlighting the problem of explanation for RSs, I discuss the application of beneficent informational nudging to the case of conversational recommender systems (CRSs), which rely on user-system dialogic interactions. Subsequently, through a comparison with standard recommendations, I outline the incentives for platforms and providers in adopting this approach and its benefits for both individual users and society. (shrink)

Earth system science (ESS) has identified worrying trends in the human impact on fundamental planetary systems. In this conceptual article, we discuss the implications of this research for business schools and management education (ME). We argue that ESS findings raise significant concerns about the relationship between business and nature and, consequently, a radical reframing is required to embed economic and social activity within the global sustainability of natural systems. This has transformative implications for ME. To illustrate this reframing, (...) we apply the ESS lenses of social-ecological interdependence, multiscalar relations, environmental governance, and environmental values to the ME functional domains of institutional purpose, social context and engagement, pedagogical practice, curricular design, and research focus. Our work contributes to the literature on business education for sustainability and the business-society-nature nexus. We explore and apply key ESS findings and concepts, discuss normative implications of these ideas, and offer guidance on transformational pathways for business schools and ME. (shrink)

This paper investigates four questions related to ethical issues associated with the involvement of engineers and scientists in 'military work', including the influence of ethical values and beliefs, the role of gendered perspectives and moves beyond the purely technical. It fits strongly into a human (and planet)-centred systems perspective and extends my previous AI and Society papers on othering and narrative ethics, and ethics and social responsibility. It has two main contributions. The first involves an analysis of the literature (...) through the application of different ethical theories and the application of gendered analysis to discussion of masculinities in engineering and the military. The second is a survey of scientists and engineers to investigate their opinions and experiences. The conclusions draw together the results of these two contributions to provide preliminary responses to the four questions and include a series of recommendations covering education and training, ethical approval of work not involving human participants or animals, the need for organisational support, approaches covering wider perspectives and the encouragement of individual ethical commitment. (shrink)

Open-source communities that focus on content rely squarely on the contributions of invisible strangers in cyberspace. How do such communities handle the problem of trusting that strangers have good intentions and adequate competence? This question is explored in relation to communities in which such trust is a vital issue: peer production of software (FreeBSD and Mozilla in particular) and encyclopaedia entries (Wikipedia in particular). In the context of open-source software, it is argued that trust was inferred from an underlying ‘hacker (...) ethic’, which already existed. The Wikipedian project, by contrast, had to create an appropriate ethic along the way. In the interim, the assumption simply had to be that potential contributors were trustworthy; they were granted ‘substantial trust’. Subsequently, projects from both communities introduced rules and regulations which partly substituted for the need to perceive contributors as trustworthy. They faced a design choice in the continuum between a high-discretion design (granting a large amount of trust to contributors) and a low-discretion design (leaving only a small amount of trust to contributors). It is found that open-source designs for software and encyclopaedias are likely to converge in the future towards a mid-level of discretion. In such a design the anonymous user is no longer invested with unquestioning trust. (shrink)

Fitness apps on mobile devices are gaining popularity, as more people are engaging in self-tracking activities to record their status of fitness and exercise routines. These technologies also evolved from simply recording steps and offering exercise suggestions to an integrated lifestyle guide for physical wellbeing, thus exemplify a new era of "quantified self" in the context of health as individual responsibility. There is a considerable amount of literature in science, technology and society (STS) studies looking at this phenomenon from different (...) perspectives, linking it with the sociology of self-surveillance and neoliberal regimes of health. However, the human-technology interface, through which the micro- (behavioral) and macro- (social) aspects converge, still calls for extensive examination. This paper approaches this topic from the postphenomenological perspective, in combination with empirical studies of design analysis and interviews of fitness apps, to reveal the human-technology link between the design elements and people's perception through the direct experiences and interpretations of technology. It argues that the intentionality of self-tracking fitness app designs mediates the human-technology relations by "guiding" people into a quantified knowledge regime. It shapes the perceptions of fitness and health with representations of meanings about a "good life" of individual success and management. This paper also gives a critique of current individual, performance-oriented fitness app designs and offers the possibility of seeking alternatives through the multistable nature of human-technology relations—how altering interpretation and meaning of the design with a cultural or social context could change the form of technological embodiment. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Kennedy Institute of Ethics Journal 14.1 (2004) 47-54 [Access article in PDF] Ethical Guidelines for Human Embryonic Stem Cell Research*(A Recommended Manuscript) Adopted on 16 October 2001Revised on 20 August 2002 Ethics Committee of the Chinese National Human Genome Center at Shanghai, Shanghai 201203 Human embryonic stem cell (ES) research is a great project in the frontier of biomedical science for the twenty-first century. Be- (...) cause the research involves the use of human embryos, it triggers serious debate on ethical issues. Opponents consider the embryo to be an early form of human life that should be respected and not destroyed. However, the majority of scientists support embryonic stem cell research, believing that it offers good prospects for the treatment of diseases that have remained incurable until now and so will benefit humankind. The Ethics Committee of the Department of Ethical, Legal, and Social Implications of the Chinese National Human Genome Center at Shanghai seriously discussed the ethical debate initiated by embryonic stem cell research. We concluded that we should support the scientists of our country in actively carrying out human embryonic stem cell research for the noble cause of "medicine being a beneficent art." For the healthy and orderly development of human embryonic stem cell research in our country, we put forward the following recommended Ethical Guidelines for Human Embryonic Stem Cell Research as a reference for leaders, administrative departments, and related scientists. Preface Article 1. Human embryonic stem cells are the primitive cells that play the main role in the growth and development of a human body. These [End Page 47] primitive cells have the potential for infinite proliferation, self-renewal, and multi-directional differentiation. If scientists can discover the mechanism of differentiation of human embryonic stem cells, it will be possible to induce differentiation of human embryonic stem cells to form various types of human cells for clinical cell therapy. If human embryonic stem cell research can be integrated with modern biomedical engineering techniques, it also will be possible to make repair and replacement of human tissues and organs a reality. Article 2. There are two ways to classify human embryonic stem cells. One way is to classify them according to their potential for differentiation. There could be three kinds of stem cells: totipotent stem cells, pluripotent stem cells, and unipotent stem cells.A totipotent stem cell has the potential to develop into a whole individual. It can differentiate into the more than 200 cell types in the whole body, construct any tissue or organ of the body, and finally develop into a whole individual. The fertilized egg and the cleavage cells at the very early stage of embryonic development are totipotent stem cells.A pluripotent stem cell has the potential to differentiate into many cell types derived from the three embryonic layers. However, it has lost the capacity to develop into a complete organism.A unipotent stem cell is derived from the further differentiation of the pluripotent stem cell. It can differentiate only into one cell type such as a hematopoietic stem cell, neural stem cell, and others.The other way is to classify human stem cells according to their source. There could be two kinds of human stem cells: embryonic stem cells and tissue stem cells (also called adult stem cells). The former involves experimentation with embryos, which has serious ethical implications. Ethical issues associated with the latter are mainly expressed in the various opinions regarding the allocation of health resources. Article 3. Human embryonic stem cells are the group of cells called the blastocyst inner cell mass during the early stage of embryonic development. They are the main source of totipotent stem cells, and hence the focal and hot point in stem cell research. Studies on the clinical application of embryonic stem cells probably will involve use of the somatic cell nucleus transfer (SCNT) technique, which destroys the early human embryo. At present, the ethical and moral debate is very serious in human embryonic stem cell research regarding whether the research will develop... (shrink)

Debate over the normativity of virtual phenomena is now widespread in the philosophical literature, taking place in roughly two distinct but related camps. The first considers the relevant problems to be within the scope of applied ethics, where the general methodological program is to square the intuitive (im)permissibility of virtual wrongdoings with moral accounts that justify their (im)permissibility. The second camp approaches the normativity of virtual wrongdoings as a metaphysical debate. This is done by disambiguating the ‘virtual’ character of ‘virtual (...) wrongdoings’. Doing so is supposed to provide illuminating ontological distinctions that inform ethical aspects of the debate. We argue that each approach faces its own set of issues, and as a result, motivates consideration of an alternative. The alternative we suggest turns inquiry concerning the normativity of virtual wrongdoings into a distinctively conceptual question. Rather than asking whether some action is right or wrong, or whether some virtual phenomenon counts as a particular action at all, we argue that research into the normativity of virtual wrongdoings may be guided by reflecting on whether a concept that originated and developed within a non-virtual context should be exported into a foreign virtual domain. We consider this approach and several objections. (shrink)

Oxford University Press proudly announces: “Now, for the first time, Oxford offers the general public a series of readable accessible biographies of great scientists.” Included among the chosen great men is Charles Babbage, described on the back cover of this book as “a dazzling genius with vision extending far beyond the limitations of the Victorian age.” Well, I'm not quite sure what this means, and unfortunately our understanding of Babbage and his historical context is not greatly illuminated by this short (...) book.Bruce Collier and James MacLachlan have produced an uncritical biography of Babbage that glorifies him as “the Grandfather of the modern computer” rather than shedding new light on his work within the context of nineteenth‐century England. Partly, no doubt, this is due to the remit of this Oxford series and its targeted audience. It is good that history of science and technology is being taken to a wider audience, but unfortunately very little is made of the work many historians have already done. The book, however, does do a useful and lucid job of describing the aims and workings of both the Difference and Analytical Engines, and it has helpful sidebars describing some of the technical aspects necessary to understanding Babbage's objectives and resources.Overall, however, historians may find the eulogizing and whiggish approach of this book a little irritating. The authors are prone to a number of ungrounded remarks, such as the allegation that the government was misguided to pay nearly £300,000 for Marc Brunel to build a tunnel under the Thames, in comparison to the “stingy” amount given to Babbage to build his Difference Engine . To make judgments about past events from the concerns of the present is not particularly fruitful. It was not at all clear to contemporaries that Babbage's engine was worth investing in or, indeed, was possible within the technological parameters then available. As such, perhaps a more interesting question would be: How did Babbage manage to get as much public money as he did in the first place? The authors would have been far more helpful had they actually related industrial Britain to the work of Babbage.Throughout this book readers will be constantly reminded of Babbage's prophetic genius. For example, on page 63 we learn that he devised a scheme to replace the transport of mail by road with a system of elevated wires carrying letters in a metal container between London and Bristol. This inspires the authors to remark: “Babbage would certainly have been overjoyed by e‐mail, by which electronic symbols are transported all over the world in the blink of an eye.” Could it be that Babbage was also the great grandfather of electronic mail? On page 65 we learn that he was also the originator of the idea of having “black boxes” used to record information in case of train or aircraft crashes, while a few pages later the authors reflect: “imagine how much Ada [Lovelace] and Charles would have loved word processing, spreadsheets, and databases!” Some people will no doubt delight in such speculations, and who am I to sour the story? As such this is a useful introduction to twentieth‐century Babbage. (shrink)

With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional (...) and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how trust manifests within social relations. Priority is given to the human user of technology—the initiator of human—robot trust relations—at all stages of decision-making. The envisioned formation of optimal conditions in which trust emerges requires the collective participation of practitioners, policymakers, and members of the community. With trust facilitating the smooth transition of robots into more socially embedded roles, positive receptivity of the best engineering project arises from the presence of harmonious robot-human trust relations in community spaces. (shrink)

This paper is addressed to recent theoretical discussions of the Anthropocene, in particular Bernard Stiegler’s Neganthropocene (Open Universities Press, 2018), which argues: “As we drift past tipping points that put future biota at risk, while a post-truth regime institutes the denial of ‘climate change’ (as fake news), and as Silicon Valley assistants snatch decision and memory, and as gene-editing and a financially-engineered bifurcation advances over the rising hum of extinction events and the innumerable toxins and conceptual opiates that Anthropocene Talk (...) fascinated itself with—in short, as ‘the Anthropocene’ discloses itself as a dead-end trap…”. The objective of this paper is therefore twofold: (1) to discuss how the Anthropocene is appropriated to certain ideological discourses (paradoxically) to maintain the hegemony of precisely those systems of production that have most accelerated climate change etc.; (2) to consider how the factography of the Anthropocene is exploited in this process to mask the ideological character of industry-aligned “technocratic” environmental management. The paper is not concerned with specific case studies in terms of government and industry policy, or climate science, but rather with the ways in which the discourse of the Anthropocene has been inflected within the humanities and the broader cultural field—that is to say, ideologically, as a system or logic of meaning. How the Anthropocene “means” is, in this respect, a question of some importance. This paper does not attempt to address all the facets of this question, but focuses upon a central “apocalyptic” strain in the discourse of the Anthropocene drawn particularly from Francis Fukuyama’s millennial posthumanism and centred in the question of “sustainability” as catastrophe management—with the risk that real environmental degradation will become an alibi for a revived neoliberalism. In other words, that the critical Earth system transformations that characterise the Anthropocene are themselves commodities, and that the project of their amelioration is in process of defining a future (opportunistic) “crisis” rhetoric with a global political franchise. The ideological import of the Anthropocene stems precisely from the fact that it is planetary and, while catalysed by human agency, independent in its specific behaviour from it. The Anthropocene objectively presents as the contemporary counterpart of the Cold War doctrine of Mutually Assured Destruction and the most compelling argument for a new kind of technological “arms race.” But it also presents as the condition of an emerging ideological discourse which will determine how this race is run. From the discourse on “energy security” to the widespread “security crackdown” on environmental activists across the so-called developed & developing world, the Anthropocene has come to represent the co-option of a scientific factography for the thinly disguised resurgence of “ideological science” of the Fukuyamaesque variety (post-history, post-human). For Fukuyama, the true meaning of “posthuman” is thus the accomplishment of humanity’s historical mission. As the “End of History” designates an end of ideological struggle, so too the dénouement of the Anthropocene and the “ends of man” represent the accomplished purpose of species warfare: dominion, not simply over the world, but over all possible worlds. According to this narrative, science—like technology—must be uniquely at the service of the maintenance of the global order, organised around a universal appeal to “crisis management.” It is precisely for this reason that what calls itself post-human masks the return of an ever-more-apocalyptic Humanism. (shrink)

Impact sourcing is the practice of employing socio-economically disadvantaged individuals at business process outsourcing centres to reduce poverty and create secure jobs. One of the pioneers of impact sourcing is Sama, a training-data company that focuses on annotating data for artificial intelligence (AI) systems and claims to support an ethical AI supply chain through its business operations. Drawing on fieldwork undertaken at three of Sama’s East African delivery centres in Kenya and Uganda and follow-up online interviews, this article interrogates Sama’s (...) claims regarding the benefits of its impact sourcing model. Our analysis reveals alarming accounts of low wages, insecure work, a tightly disciplined labour management process, gender-based exploitation and harassment and a system designed to extract value from low-paid workers to produce profits for investors. We argue that competitive market-based dynamics generate a powerful force that pushes such companies towards limiting the actual social impact of their business model in favour of ensuring higher profit margins. This force can be resisted, but only through countervailing measures such as pressure from organised workers, civil society, or regulation. These findings have broad implications related to working conditions for low-wage data annotators across the sector and cast doubt on the ethical nature of AI products that rely on this form of AI data work. (shrink)

From the deployment of chatbots as procurement negotiators by corporations such as Walmart to autonomous agents providing ‘differentiated chat’ for managing overbooked flights, synthetic media are making the world of logistics their ‘natural’ habitat. Here, the coordination of commodities, parts and labour design the problems and produce the training sets from which ‘solutions’ can be synthesised. But to what extent might synthetic media, surfacing via platforms such as Midjourney and OpenAI, be understood as logistical media? This paper charts a selective (...) genealogy of synthetic media from early attempts to synthesise human sensory capacities in order to cybernetically integrate them into computational circuits. We see this integration as a pre-emption of their (computational) logistical coordination. It then details media experiments with ‘ChatFOS’, a GPT-based bot tasked with developing a logistics design business. Using its prompt-generated media outputs, we assemble a simulation and parody of AI’s emerging functionalities within logistical worlds. In the process, and with ‘human-in-the-loop’ stitching, we illustrate how large language models become media managers overseeing image prompts, graphical design, website code, promotional copy and investor pitch scenarios. The processes and methods of producing speculative scenarios via ChatFOS lead us to consider how the media of logistics and the logistics of media are increasingly enfolded. We ask: what can a (practice-based) articulation of this double-becoming of logistics and synthetic mediality tell us about the politics and aesthetics of contemporary computation and capital? (shrink)

Artificial Intelligence (AI) is taking centre stage in economic growth and business operations alike. Public discourse about the practical and ethical implications of AI has mainly focussed on the societal level. There is an emerging knowledge base on AI risks to human rights around data security and privacy concerns. A separate strand of work has highlighted the stresses of working in the gig economy. This prevailing focus on human rights and gig impacts has been at the expense of (...) a closer look at how AI may be reshaping traditional workplace relations and, more specifically, workplace health and safety. To address this gap, we outline a conceptual model for developing an AI Work Health and Safety (WHS) Scorecard as a tool to assess and manage the potential risks and hazards to workers resulting from AI use in a workplace. A qualitative, practice-led research study of AI adopters was used to generate and test a novel list of potential AI risks to worker health and safety. Risks were identified after cross-referencing Australian AI Ethics Principles and Principles of Good Work Design with AI ideation, design and implementation stages captured by the AI Canvas, a framework otherwise used for assessing the commercial potential of AI to a business. The unique contribution of this research is the development of a novel matrix itemising currently known or anticipated risks to the WHS and ethical aspects at each AI adoption stage. (shrink)

A major, but too-little-considered problem for Software Engineering is a lack of consensus concerning Computer Science and how this relates to developing unpredictable computing technology. We consider some implications for SE of computer systems differing scientific basis, exemplified with the International Standard Organisations Open Systems Interconnection layered architectural model. An architectural view allows comparison of computing technology components facilitating a view of computing as a continuum. For example, at one layer of computer architecture, components written in Turing-complete (...) machine language can be seen as deterministic and consistent with a theoretical paradigm of CS. At another layer, components closer to the human sphere have been seen as non-deterministic and inconsistent with theoretical CS. We compare unpredictable development of computing technology against the cyclic legacy of technological advance and scientific discovery, and suggest that SE indicates an enabling cycle, discernible in previous scientific revolution, is stalled or possibly hidden. The CS consequence of divorcing technological advance from scientific consensus is particularly concerning. For example human/computing events could be seen as unpredictable virtual phenomena that somehow extend the ontology of CS. Our approach challenges practical and philosophical boundaries by investigating if applying scientific method resolves any SE/Science dichotomy. (shrink)

Biometrics is often described as `the next big thingin information technology'. Rather than IT renderingthe body irrelevant to identity – a mistaken idea tobegin with – the coupling of biometrics with ITunequivocally puts the body center stage. The questions to be raised about biometrics is howbodies will become related to identity, and what thenormative and political ramifications of this couplingwill be. Unlike the body rendered knowable in thebiomedical sciences, biometrics generates a readable body: it transforms the body's surfaces andcharacteristics into (...) digital codes and ciphers to be`read' by a machine. ``Your iris is read, in the sameway that your voice can be printed, and yourfingerprint can be read'', by computers that, in turn,have become ``touch-sensitive'', and endowed with seeingand hearing capacities. Thus transformed into readable``text'', the meaning and significance of the biometricbody will be contingent upon ``context'', and therelations established with other ``texts''. Thesemetaphors open up ways to investigate the differentmeanings that will become attached to the biometricbody and the ways in which it will be tied toidentity. This paper reports on an analysis of plans andpractices surrounding the `Eurodac' project, aEuropean Union initiative to use biometrics (specif.fingerprinting) in controlling illegal immigration andborder crossings by asylum seekers. (shrink)

Public sector adoption of AI techniques in welfare systems recasts historic national data as resource for machine learning. In this paper, we examine how the use of register data for development of predictive models produces new ‘afterlives’ for citizen data. First, we document a Danish research project’s practical efforts to develop an algorithmic decision-support model for social workers to classify children’s risk of maltreatment. Second, we outline the tensions emerging from project members’ negotiations about which datasets to include. (...) Third, we identify three types of afterlives for citizen data in machine learning projects: (1) data afterlives for training and testing the algorithm, acting as ‘ground truth’ for inferring futures, (2) data afterlives for validating the algorithmic model, acting as markers of robustness, and (3) data afterlives for improving the model’s fairness, valuated for reasons of data ethics. We conclude by discussing how, on one hand, these afterlives engender new ethical relations between state and citizens; and how they, on the other hand, also articulate an alternative view on the value of datasets, posing interesting contrasts between machine learning projects developed within the context of the Danish welfare state and mainstream corporate AI discourses of the bigger, the better. (shrink)

Multimodal communication research focuses on how different means of signalling coordinate to communicate effectively. This line of research is traditionally influenced by fields such as cognitive and neuroscience, human-computer interaction, and linguistics. With new technologies becoming available in fields such as natural language processing and computer vision, the field can increasingly avail itself of new ways of analyzing and understanding multimodal communication. As a result, there is a general hope that multimodal research may be at the “precipice (...) of greatness” due to technological advances in computer science and resulting extended empirical coverage. However, for this to come about there must be sufficient guidance on key (theoretical) needs of innovation in the field of multimodal communication. Absent such guidance, the research focus of computer scientists might increasingly diverge from crucial issues in multimodal communication. With this paper, we want to further promote interaction between these fields, which may enormously benefit both communities. The multimodal research community (represented here by a consortium of researchers from the Visual Communication [ViCom] Priority Programme) can engage in the innovation by clearly stating which technological tools are needed to make progress in the field of multimodal communication. In this article, we try to facilitate the establishment of a much needed common ground on feasible expectations (e.g., in terms of terminology and measures to be able to train machine learning algorithms) and to critically reflect possibly idle hopes for technical advances, informed by recent successes and challenges in computer science, social signal processing, and related domains. (shrink)

Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with human interactional concerns. We investigate techniques for exploring and reflecting on the interactional affordances, the unique relational possibilities, and the wider social implications of AI systems. We introduced into an interaction design course (n = 100) (...) nine ‘AI exercises’ that draw on more than human design, responsible AI, and speculative enactment to create experiential engagements around AI interaction design. We find that exercises around metaphors and enactments make questions of training and learning, privacy and consent, autonomy and agency more tangible, and thereby help students be more reflective and responsible on how to design with AI and its complex properties in both their design process and outcomes. (shrink)

This article explores the challenges surrounding generative artificial intelligence (GenAI) in public administrations and its impact on human‒machine interactions within the public sector. First, it aims to deconstruct the reasons for distrust in GenAI in public administrations. The risks currently linked to GenAI in the public sector are often similar to those of conventional AI. However, while some risks remain pertinent, others are less so because GenAI has limited explainability, which, in return, limits its uses in public administrations. Confidentiality, (...) marking of GenAI outputs and errors are specific matters for which responses should be technical as well as cultural, as they are pushing the boundaries of our instrumental conceptions of machines. Second, this article proposes some paradigm shifts in the perspective of using GenAI in public administrations due to the radical change caused by its language-based nature. GenAI represents a profound break from the “numerical” nature of AI systems implemented in public administrations to date. The transformative impact of GenAI on the intellectual production of the state raises fears of the replacement, or rather enslavement, of civil servants to machines. The article argues for the development of critical thinking as a specific skill for civil servants who have become highly specialized and will have to think with a machine that is eclectic by nature. It anticipates a transformation in the political nature of public administrations, which should lead to more considerations for the strategic stake related to training corpus and for our conceptualization of the neutrality of AI. (shrink)

The relevance is due to the socio-cultural and civilizational importance of training specialists in the field of cultural process management. The purpose of the work is the articulation of the philosophical-anthropological, teleological-causal, organizational-praxeological foundations of the educational-professional program “Cultural Studies: Cultural Process Management”. It is proved that the philosophical and anthropological basis contains a syncretic image of a person, which arises at the intersection of three images – a person who is capable for symbolic activity, producing different forms (...) – science, art, literature, philosophy, religion etc. (homo symbolicum), a person who is able to perform mediating functions (homo mediator), as well as a person who knows how to manage complex cultural processes through the search for a common measure of interaction (homo moderator) like Pericles, Cosimo di Giovanni de’ Medici, Catherine de Vivonne, marquise de Rambouillet etc. It is realized that the teleological-causal foundation contains, on the one hand, the complementarity of the transcendent (wisdom, goodwill, beauty, justice etc.) and immanent (specific socio-cultural projects) goals of culture, and on the other hand, a set of causal mechanisms for their achievement and compliance. It is realized that the relationship between the goal and the means is such that the more complex the goal, the stronger the role of the means, and because of this, it has a singular character, that is, it is determined in each individual case. It is established that the organizational and praxeological foundation underpins it in the context of interdisciplinarity, which corresponds to the current – synergetic – state of existence and development of scientific knowledge with the inherent processes of nonlinearity, stochasticity, probability, randomness. (shrink)

Most of this work is concerned with two theories that underlie cognitive science; theories which I call "the representational theory of intentionality" and "the computational theory of cognition" . While the representational theory of intentionality asserts that mental states are about the world in virtue of a representation relation between the world and the state, the computational theory of cognition asserts that humans and others perform cognitive tasks by computing functions on these representations. CTC draws upon a rich analogy between (...) the mind and digital computers, portraying cognizers as receiving input and generating outputs . ;Since researchers within cognitive science--especially within cognitive psychology, computer science, and philosophy of mind--share a common theoretic background in their adherence to the combination of RTI and CTC, what I call "computationalism" most of the work done in philosophy of mind has been aimed at either refuting or further articulating these two theories. This work is strongly within that tradition. ;RTI and CTC combine to create an explanatory framework for explanation in cognitive science. In this work, I seek to delineate the exact structure of this framework, to determine its components and their overall relationships. In my mind, this involves making implicit aspects of computational explanation explicit, providing an overall rationale for the various components and their relationships, and defending that rationale against criticism. ;In particular, the project of this work is to argue that computationalist explanations of cognition within cognitive science need to make appeals to both representation and knowledge; to distinguish the respective roles of knowledge and of representation in an overall picture of computational explanations, and to develop and argue for definitions of representation and knowledge that would allow those concepts to play their respective roles within computational explanations in cognitive science. ;The first half of this work , therefore, is devoted to theories of representation, especially to the need for, and role of representation in computational explanations. The first half of the work culminates in chapter three with a definition of representation and a picture of the structure of computational explanations. The second half of the project then becomes to generate a definition of knowledge that defines knowledge in non-epistemic language amenable to computationalism and that carries the epistemic burdens placed upon knowledge by its use in computational explanations, as well as to offer a limited defence of that definition within the framework of traditional epistemology. (shrink)

Argumentation schemes have played a key role in our research projects on computational models of natural argument over the last decade. The catalogue of schemes in Walton, Reed and Macagno’s 2008 book, Argumentation Schemes, served as our starting point for analysis of the naturally occurring arguments in written text, i.e., text in different genres having different types of author, audience, and subject domain (genetics, international relations, environmental science policy, AI ethics), for different argument goals, and for different possible future applications. (...) We would often first attempt to analyze the arguments in our corpora in terms of those schemes, then adapt schemes as needed for the goals of the project, and in some cases implement them for use in computational models. Among computational researchers, the main interest in argumentation schemes has been for use in argument mining by applying machine learning methods to existing argument corpora. In contrast, a primary goal of our research has been to learn more about written arguments themselves in various contemporary fields. Our approach has been to manually analyze semantics, discourse structure, argumentation, and rhetoric in texts. Another goal has been to create sharable digital corpora containing the results of our studies. Our approach has been to define argument schemes for use by human corpus annotators or for use in logic programs for argument mining. The third goal is to design useful computer applications based upon our studies, such as argument diagramming systems that provide argument schemes as building blocks. This paper describes each of the various projects: the methods, the argument schemes that were identified, and how they were used. Then a synthesis of the results is given with a discussion of open issues. (shrink)

The paper presents a framework to realise “meaningful human control” over Automated Driving Systems. The framework is based on an original synthesis of the results of the multidisciplinary research project “Meaningful Human Control over Automated Driving Systems” lead by a team of engineers, philosophers, and psychologists at Delft University of the Technology from 2017 to 2021. Meaningful human control aims at protecting safety and reducing responsibility gaps. The framework is based on the core assumption that (...) class='Hi'>human persons and institutions, not hardware and software and their algorithms, should remain ultimately—though not necessarily directly—in control of, and thus morally responsible for, the potentially dangerous operation of driving in mixed traffic. We propose an Automated Driving System to be under meaningful human control if it behaves according to the relevant reasons of the relevant human actors (tracking), and that any potentially dangerous event can be related to a human actor (tracing). We operationalise the requirements for meaningful human control through multidisciplinary work in philosophy, behavioural psychology and traffic engineering. The tracking condition is operationalised via a proximal scale of reasons and the tracing condition via an evaluation cascade table. We review the implications and requirements for the behaviour and skills of human actors, in particular related to supervisory control and driver education. We show how the evaluation cascade table can be applied in concrete engineering use cases in combination with the definition of core components to expose deficiencies in traceability, thereby avoiding so-called responsibility gaps. Future research directions are proposed to expand the philosophical framework and use cases, supervisory control and driver education, real-world pilots and institutional embedding. (shrink)