L'informatique se définissant comme le traitement rationnel de l'information par machine automatique et l'intelligence se caractérisant par une même capacité de traitement rationnel, il était inévitable que l'on songe à associer l'intelligence au traitement automatique de l'information. C'est ce qu'a fait John McCarthy en forgeant le terme d'intelligence artificielle. Par «intelligence artificielle» on peut vouloir exprimer l'ambition de1. Recréer, transformer ou développer l'intelligence artificiellement2. Simuler l'intelligence en la reconstituant dans des modéles imitant (...) certains aspects de notre intelligence dite naturelle. (shrink)

Alors que Le Sony World Photography Award 2023 a été attribué à une œuvre générée par IA, que les scénaristes d’Hollywood manifestent dans les rues de Los Angeles, et que les Large Language Models sont appelées à prendre de plus en plus de place dans nos activités cognitives, il est urgent de se demander si la force de création humaine, celle des auteurs, des scénaristes, des artistes et même des scientifiques ne s’est pas aliénée dans la combinatoire. Les IA LLM (...) ont-elles concrétisé « l’exploitation de niveau 2 » du capitalisme cognitif, c’est-à-dire l’exploitation totale de la force-invention (créativité, intelligence, innovation)? Pour répondre à cette question, l’article propose d’entrer dans la combinatoire comme on rentre dans la Bibliothèque de Babel, c’est-à-dire de s’y perdre pour mieux s’y retrouver. (shrink)

New technological advancements have always changed the way society and human relationships work. New affordances created by technological tools inevitable modify and affect the way people interact with such tools, as well as with one another, and with the world within which this technology is embedded. -/- Technology, Users and Uses explores and discusses ethical issues around the use of technology and AI, by focusing on the way they affect individual, social and global interactions. The collection addresses topics including social (...) networks, public opinion, fake news and information warfare; digitalisation and datafication of society and individuals; and transhumanism, super-intelligent machines and the technological singularity. -/- Technology, Users and Uses aims to offer theoretical and practical guidelines and recommendations for regulators, developers, engineers and scientists, as well as for researchers, educators and scholars in the fields of technology and AI, philosophy and sociology. (shrink)

This essay replies to some representative authors, canonic indeed, of the opposition to artificial intelligence : Hubert L. DREYFUS, with his study, systematic enough in its time, What Computers can't do. His phenomenological critic meets a numerous audience, even among computer scientists. Joseph WEIZENBAUM, research worker in artificial intelligence himself, gone over to the opposition with his book Computer Power and Human Reason. His objections are classically moral and anti-techno-scientific. The philosopher John R. SEARLE, whose book Mind, Brain (...) and Science reminds us most of the resistances of linguistic scientists against artificial intelligence, turning the real difficulties of formalization of language in ontological impossibilities. Terry WINOGRAD, another research worker of the early times of AI, and Fernando FLORES, former economy minister of Chile in 1973, both rebels against the computerization of the human's world - thanks to the phenomenological post-hedeggerian way of think -, in their common work, Understanding Computers and Cognition. Phenomenological philosophy has found the perfect target with AI, which embodies the image of science for the post-romantic thinking. This image can be perfectly symbolized by the frescos, choosen for the cover of this very book, situated on the walls of the Sorbonne University Library stairs! Againts the arguments of this running down romantical thinking, this book make the effort to answer on every point. But this work invites us to give up the intellectual illusions too, against which the method of cognitive sciences and information processing can be used as riddle. Incidentally, the approach of this critical method itself can be considered too as an automatic knowledge management try. (shrink)

"Cet essai de bioéthique propose de penser l'Homme et son avenir à travers une innovation technologique extraordinaire : les implants cérébraux. Utilisés déjà dans des contextes de maladies, leur développement actuel laisse espérer pouvoir contrôler bientôt des dispositifs robotiques en connectant le cerveau à des ordinateurs équipés d'intelligences artificielles. Si les premiers résultats sont très encourageants, ces interfaces cerveau-machines posent néanmoins un questionnement éthique majeur. Que devient l'Homme si son cerveau fonctionne avec un dispositif électronique "intelligent" implanté? Pourrait-on percer les (...) secrets de ses pensées? Pourrait-on augmenter son intelligence ou sa mémoire? Afin d'appréhender ces trois questions, cet essai commence par penser l'Homme et son rapport aux technologies : la vulnérabilité humaine n'appelle-t-elle pas le recours aux techniques et technologies pour habiter le monde? Pour aider certaines personnes en situation de handicap, n'a-t-on pas besoin parfois de dépasser techniquement les limites de la nature humaine? Mais peut-on pour autant tout se permettre, même pour compenser un handicap? Comment accompagner les chercheurs dans leur propre questionnement? Ne serait-ce qu'une question de bon et de mauvais usage des techniques et technologies? C'est cette aventure philosophique et bioéthique que propose cet essai.". (shrink)

Transhumanism : in a nutshell -- On a silicon-based transhumanism -- On a carbon-based transhumanism -- A fictive ethics -- The end of the beginning.

Digitalisierung und Technik bestimmen heute maßgeblich das sozialgesellschaftliche Miteinander. Dies betrifft eher traditionsorientierte Strukturen in Religion und Kultur ebenso wie progressive Bereiche in Medizin und Pflege. Technik erweist sich nicht länger als ein bloßes Instrument des Wandels, sondern treibt den Wandel an, gibt ihm Richtung. Der Mensch wird dabei zunehmend zum Passagier einer Entwicklung, die er immer seltener überblickt. Umso wichtiger ist es daher, eine strukturierte und kontextsensible Auseinandersetzung mit Chancen und Risiken technischer Möglichkeiten vorzunehmen. Interdisziplinäre Beiträge aus Theologie, Pflege (...) und Ethik geben Einblicke in ein breitgefächertes Themenfeld, das die Frage nach dem Selbstverständnis des Menschen in einer transformativen Gesellschaft stellt. Sie bieten Orientierung und Argumentationshilfen und tragen bei zu einer Sprachfähigkeit »Sozialer Verantwortung«, die zwischen analoger und digitaler Welt verbindet. (shrink)

With the expansion of artificial intelligence and advanced technologies, theworld in the 21st century is rapidly changing and imposing new living dynamics. Althoughsuch changes affect all age groups, younger generations accept them faster andreact more positively. The new cohorts - Generation Z and Alpha - live in a digital worldthat affect their lifestyle, interpersonal relations, quality of mental health, psychologicalwell-being and everyday challenges. The presence of the so called “Frankenstein effect”in some adults provoked by the fast development of artificial (...) intelligence and robotics,reflects a “humans versus machines” position, viewing artificial intelligence as athreat to humanity. However, the reality is that digital and human world are not inconflict, since many people are already using artificial intelligence tools on daily basis.It is implemented in certain aspects of medicine, education, business, law, agriculture,industry, space technology and in many other fields. With this in mind, the aspect ofmorality pops up as a very important one. A frequently asked question is: Does artificialintelligence have the capacity to make moral decisions independently? Therefore, integratingmorality into AI algorithms is one of the priorities that interdisciplinary teamsfrom engineering and computer sciences, psychology, philosophy, sociology, law, etc.are intensively working on. This paper addresses this issue by presenting findings fromrelevant research which discusses the challenges and possibilities for integrating thedimensions of morality and introducing human values into autonomous systems thatperform complex tasks. (shrink)

The focus of this paper is the following claim: as a purely conceptual matter, the moral truths could be pretty much anything, and we should assume this in assessing our reliability at grasping moral truths. This claim, which I call No Content, plays a key role in an important skeptical argument against realist moral knowledge – the Normative Lottery Argument. In this paper, I argue that moral realists can, and should, reject No Content. My argument centers on the idea of (...) practical intelligibility. I explore different aspects of practical intelligibility, and I argue that such intelligibility sets a constraint on the possibilities we should consider when assessing our reliability at grasping moral truths. (shrink)

This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear about the goal of alignment. There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values. A principle-based approach to AI alignment, which combines these elements (...) in a systematic way, has considerable advantages in this context. Third, the central challenge for theorists is not to identify ‘true’ moral principles for AI; rather, it is to identify fair principles for alignment that receive reflective endorsement despite widespread variation in people’s moral beliefs. The final part of the paper explores three ways in which fair principles for AI alignment could potentially be identified. (shrink)

Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathetic health care (Nurses again outpace other professions for honesty & ethics, 2018). Caring is a fundamental characteristic, expectation, and moral obligation of the nursing and caregiving professions (Nursing: Scope and standards of practice, American Nurses Association, Silver Spring, MD, 2015). Along with caring, nurses are expected to undertake ever‐expanding duties and complex tasks. In part because of the growing physical, intellectual and emotional demandingness, of nursing as well (...) as technological advances, artificial intelligence (AI) and AI care robots are rapidly changing the healthcare landscape. As technology becomes more advanced, efficient, and economical, opportunities and pressure to introduce AI into nursing care will only increase. In the first part of the article, we review recent and existing applications of AI in nursing and speculate on future use. Second, situate our project within the recent literature on the ethics of nursing and AI. Third, we explore three dominant theories of caring and the two paradigmatic expressions of caring (touch and presence) and conclude that AI—at least for the foreseeable future—is incapable of caring in the sense central to nursing and caregiving ethics. We conclude that for AI to be implemented ethically, it cannot transgress the core values of nursing, usurp aspects of caring that can only meaningfully be carried out by human beings, and it must support, open, or improve opportunities for nurses to provide the uniquely human aspects of care. (shrink)

As artificial intelligence (AI) continues to advance, one key challenge is ensuring that AI aligns with certain values. However, in the current diverse and democratic society, reaching a normative consensus is complex. This paper delves into the methodological aspect of how AI ethicists can effectively determine which values AI should uphold. After reviewing the most influential methodologies, we detail an intuitionist research agenda that offers guidelines for aligning AI applications with a limited set of reliable moral intuitions, each (...) underlying a refined cooperative view of AI. We discuss appropriate epistemic tools for collecting, filtering, and justifying moral intuitions with the aim of reducing cognitive and social biases. The proposed methodology facilitates a large collective participation in AI alignment, while ensuring the reliability of the considered moral judgments. (shrink)

From some perspectives, it seems obvious that emotions and feelings must be both reasonable and morally significant: from others, it may seem as obvious that they cannot be. This paper seeks to advance discussion of ethical implications of the currently contested issue of the relationship of reason to feeling and emotion via reflection upon various examples of affectively charged moral dilemma. This discussion also proceeds by way of critical consideration of recent empirical enquiry into these issues in the literature of (...) so-called emotional intelligence. In this regard, despite ambiguities in their accounts of the relationship of reason to emotion, advocates of emotional intelligence generally incline to therapeutic conceptions of emotional health which are not inconsistent with currently fashionable cognitivist accounts of feeling and emotion. All the same, it is arguable that therapeutic or other strategies which overplay the possibility of cognitive or other resolution of emotional conflict are prey to certain difficulties. First, they underemphasise those passive but identity-constitutive aspects of affect which are not obviously rationally accountable. Secondly, they insufficiently recognise the extent to which emotional conflicts can be significantly implicated in moral diversity. In view of either or both of these points, they may fail to appreciate the moral inappropriateness of attempts to resolve certain forms of emotional conflict or tension. (shrink)

Artificial Intelligence Applications in Higher Education offers direct examples of how artificial intelligence systems can be applied in today's higher education contexts. As use of AI rapidly advances within colleges and universities worldwide, there is a pressing need to showcase the challenges, opportunities, and ethical considerations inherent in deploying these advanced computational tools. This book highlights the multifaceted roles of AI across teaching and learning, institutional administration, student data management, and beyond. Its collected case studies furnish actionable insights (...) into enhancing academic institutions and addressing diverse learning priorities such as motivation, engagement, feedback, and achievement goals. This valuable reference for researchers, designers, administrators, teaching faculty, and graduate students across various university programs offers fresh perspectives on generative AI, adaptive learning, intelligent tutoring systems, chatbots, predictive technologies, remote learning, and more. (shrink)

Artificial Intelligence and Music Ecosystem highlights the opportunities and rewards associated with the application of AI in the creative arts. Featuring an array of voices, including interviews with Jacques Attali, Holly Herndon and Scott Cohen, this book offers interdisciplinary approaches to pressing ethical and technical questions associated with AI. Considering the perspectives of developers, students and artists, as well as the wider themes of law, ethics and philosophy, Artificial Intelligence and Music Ecosystem is an essential introduction for anyone (...) interested in the impact of AI on music, including those studying and working in the creative arts. (shrink)

Most accounts of responsibility focus on one type of responsibility, moral responsibility, or address one particular aspect of moral responsibility such as agency. This article outlines a broader framework to think about responsibility that includes causal responsibility, relational responsibility, and what I call “narrative responsibility” as a form of “hermeneutic responsibility”, connects these notions of responsibility with different kinds of knowledge, disciplines, and perspectives on human being, and shows how this framework is helpful for mapping and analysing how artificial (...) intelligence (AI) challenges human responsibility and sense-making in various ways. Mobilizing recent hermeneutic approaches to technology, the article argues that next to, and interwoven with, other types of responsibility such as moral responsibility, we also have narrative and hermeneutic responsibility—in general and for technology. For example, it is our task as humans to make sense of, with and, if necessary, against AI. While from a posthumanist point of view, technologies also contribute to sense-making, humans are the experiencers and bearers of responsibility and always remain in charge when it comes to this hermeneutic responsibility. Facing and working with a world of data, correlations, and probabilities, we are nevertheless condemned to make sense. Moreover, this also has a normative, sometimes even political aspect: acknowledging and embracing our hermeneutic responsibility is important if we want to avoid that our stories are written elsewhere—through technology. (shrink)

In this paper, I examine why moral exemplars are useful and even necessary in moral education despite several critiques from researchers and educators. To support my point, I review recent AI research demonstrating that exemplar-based learning is superior to rule-based learning in model performance in training neural networks, such as large language models. I particularly focus on why education aiming at promoting the development of multifaceted moral functioning can be done effectively by using exemplars, which is similar to exemplar-based learning (...) in AI model training. Furthermore, I discuss the potential limitations and issues related to exemplar-applied moral education with findings from recent studies in AI research raising concerns about model biases and toxic outcomes. I attempt to propose ways to address the concerns regarding employing moral exemplars as well. As remedies, I suggest that autonomy-supporting deliberative and reflective learning processes should be utilized. Furthermore, based on the discussion, I examine how macroscopic socio-cultural aspects influence the effectiveness of exemplar-applied moral education. Suggestions for moral educators and future directions for research in moral education are briefly discussed. (shrink)

The concept of 'artificial intelligence' has been eulogised within science fiction since the early twentieth century, and today, it is accompanied by a tenacious desire to transition this fiction into some kind of reality. AI has become engulfed in hysteria-its expectations have been exaggerated, widely confused, and erroneously distorted. Playing God with Artificial Intelligence dispels the misconceptions surrounding AI and forms a realistic betterment in understanding, as there is an uncensored belief in something not entirely understood. It offers (...) a more accurate and comprehensive notion of what is believed to be AI, what it isn't, and what it might achieve in the future. Playing God controversially presents numerous suppositions as to how to create an intelligent agent that can think and reason independently. With the establishment of a 'freedom of thought,' it considers plagiarising nature and explores the development of an ethical and morally responsible 'being' who will have an innate ability to acquire and apply knowledge and skills. The book examines several philosophies to strengthen its conjecture in support of the birth of an intelligent agent, Zavier-who might become humankind's saviour. The book explores the process of shaping and architecting a digital mind, encompassing awareness and a level of consciousness that may one day bestow 'free will' to this creation. This book is for industry analysts, academics, developers, data scientists and, more broadly, anyone with an interest in learning more about artificial intelligence. (shrink)

This book starts from the proposition that the field of intelligence lacks any systematic ethical review, and then develops a framework based on the notion of harm and the establishment of Just Intelligence Principles. As the professional practice of intelligence collection adapts to the changing environment of the twenty-first century, many academic experts and intelligence professionals have called for a coherent ethical framework that outlines exactly when, by what means and to what ends intelligence is (...) justified. Recent controversies, including reports of abuse at Guantanamo Bay and Abu Ghraib, allegations of extraordinary rendition programmes and the ever-increasing pervasiveness of the ‘surveillance state’, have all raised concerns regarding the role of intelligence in society. As a result, there is increased debate regarding the question of whether or not intelligence collection can be carried out ethically. _The Ethics of Intelligence_ tackles this question by creating an ethical framework specifically designed for intelligence that is capable of outlining under what circumstances, if any, different intelligence collection activities are ethically permissible. The book examines three of the main collection disciplines in the field of intelligence studies: imagery intelligence, signals intelligence and human intelligence. By applying the ethical framework established at the beginning of the book to these three important intelligence collection disciplines, it is possible to better understand the ethical framework while also demonstrating its real-life applicability. This book will be of much interest to students of intelligence studies, ethics, war and conflict studies, security studies and IR. (shrink)

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, (...) and regulations to ensure the positive impact of artificial intelligence in learning. (shrink)

In such works as A Short History of Ethics, Against the Self-lmages of the Age, and After Virtue, Alasdair MacIntyre has argued that the intelligibility of the moral life hinges upon viewing the moral life as essential to the happy life, or eudaimonia. In my article I examine the reasons he gives for saying this, arguing that this thesis is not sufficiently defended by MacIntyre. I also draw connections between this thesis about the intelligibility of the moral life and other (...) aspects of MacIntyre’s thought, such as his communitarianism. In concluding I note that several of MacIntyre’s more significant claims about morality might well be true even if his thesis about the intelligibility of the moral life is false. (shrink)

Bringing together literary scholars, computer scientists, ethicists, philosophers of mind, and scholars from affiliated disciplines, this collection of essays offers important and timely insights into the pasts, presents, and, above all, possible futures of Artificial Intelligence. This book covers topics such as ethics and morality, identity and selfhood, and broader issues about AI, addressing questions about the individual, social, and existential impacts of such technologies. Through the works of science fiction authors such as Isaac Asimov, Stanislaw Lem, Ann Leckie, (...) Iain M. Banks, and Martha Wells, alongside key visual productions such as Ex Machina, Westworld, and Her, contributions illustrate how science fiction might inform potential futures as well as acting as a springboard to bring disciplinary knowledge to bear on significant developments of Artificial Intelligence. Addressing a broad, interdisciplinary audience, both expert and non-expert readers gain an in-depth understanding of the wide range of pressing issues to which Artificial Intelligence gives rise, and the ways in which science fiction narratives have been used to represent them. Using science fiction in this manner enables readers to see how even fictional worlds and imagined futures have very real impacts on how we understand these technologies. As such, readers are introduced to theoretical positions on Artificial Intelligence through fictional works as well as encouraged to reflect on the diverse aspects of Artificial Intelligence through its many philosophical, social, legal, scientific, and cultural ramifications. (shrink)

The inquiry into the moral status of artificial intelligence (AI) is leading to prolific theoretical discussions. A new entity that does not share the material substrate of human beings begins to show signs of a number of properties that are nuclear to the understanding of moral agency. It makes us wonder whether the properties we associate with moral status need to be revised or whether the new artificial entities deserve to enter within the circle of moral consideration. This raises (...) the foreboding that we are at the gates of an anthropological crisis: the properties bound to moral agency have been exclusively possessed in the past by human beings and have shaped the very definition of being human. In this article, I will argue that AI does not lead us to an anthropological crisis and that, if we adhere to the history and philosophy of technology, we will notice that the debate on the moral status of AI uncritically starts from an anthropology of properties and loses sight of the relational dimension of technology. First, I will articulate three criteria for analyzing different anthropological views in philosophy of technology. Second, I will propose six anthropological models: traditional, industrial, phenomenological, postphenomenological, symmetrical, and cyborg. Third, I will show how the emergence of AI breaks with the dynamics of increased relationality in the history and philosophy of technology. I will argue that this aspect is central to debates about the moral status of AI, since it sheds light on an aspect of moral consideration that has been obscured. Finally, I will reject entirely relational approaches to moral status and propose two hybrid possibilities for rethinking it. (shrink)

The emergence of collective intelligence has been studied in much greater detail in small groups than in larger ones. Nevertheless, in groups of several hundreds or thousands of members, it is well-known that the social environment exerts a considerable influence on individual behavior. A few recent papers have dealt with some aspects of large group situations, but have not provided an in-depth analysis of the role of interactions among the members of a group in the creation of ideas, as (...) well as the group’s overall performance. In this study, we report an experiment where a large set of individuals, i.e., 789 high-school students, cooperated online in real time to solve two different examinations on a specifically designed platform (Thinkhub). Our goal of this paper 6 to describe the specific mechanisms of idea creation we were able to observe and to measure the group’s performance as a whole. When we deal with communication networks featuring a large number of interacting entities, it seems natural to model the set as a complex system by resorting to the tools of statistical mechanics. Our experiment shows how an interaction in small groups that increase in size over several phases, leading to a final phase where the students are confronted with the most popular answers of the previous phases, is capable of producing high-quality answers to all examination questions, whereby the last phase plays a crucial role. Our experiment likewise shows that a group’s performance in such a task progresses in a linear manner in parallel with the size of the group. Finally, we show that the controlled interaction and dynamics foreseen in the system can reduce the spread of “fake news” within the group. (shrink)

The pressure to obey : what would you do? -- Obedience and disobedience : when is which right? -- Breaking the habit : it takes more than you think -- Finding your voice : saying "no" so you are heard -- Understanding the true risks of saying "yes" -- The dynamics of authority and obedience -- Changing the dynamics -- The crucial lessons from guide dog training -- The price of teaching obedience too well -- Teaching intelligent disobedience : where (...) do the lessons begin? -- Doing right at work : saving lives and accomplishing missions. (shrink)

An eminent political thinker uses our history with states and corporations--"artificial agents" to which we have granted immense power--to predict how AI will remake society. Countless books, news reports, and opinion pieces have announced the impending arrival of artificial intelligence, with most claiming that it will upend our world, revolutionizing not just work but society overall. Yet according to political philosopher and historian David Runciman, we've actually been living with a version of AI for 300 years because states and (...) corporations are robots, too. In The Handover, Runciman explains our current situation through the history of these "artificial agents" we created to rescue us from our all-too-human limitations--and demonstrates what this radical new view of our recent past means for our collective future. From the United States and the United Kingdom to the East India Company, Standard Oil, Facebook, and Alibaba, states and corporations have gradually, and then much more rapidly, taken over the planet. They have helped to conquer poverty and eliminate disease, but also unleashed global wars and environmental degradation. As Runciman demonstrates, states and corporations are the ultimate decision-making machines, defined by their ability to make their own choices and, crucially, to sustain the consequences of what has been chosen. And if the rapid spread of the modern state and corporation has already transformed the conditions of human existence, new AI technology promises the same. But what happens when AI interacts with other kinds of artificial agents, the inhuman kind represented by states and corporations? Runciman argues that the twenty-first century will be defined by increasingly intense battles between state and corporate power for the fruits of the AI revolution. In the end, it is not our own, human relationship with AI that will determine our future. Rather, humanity's fate will be shaped by the interactions among states, corporations, and thinking machines. With clarity and verve, The Handover presents a brilliantly original history of the last three centuries and a new understanding of the immense challenges we now face. (shrink)

This book starts from the proposition that the field of intelligence lacks any coherent or systematic ethical review, and then develops an ethical framework for intelligence based on the notion of harm and the establishment of the Just Intelligence Principles. This book argues that the most appropriate ethical framework for intelligence collection is one which is able to recognise that intelligence collection does indeed cause harm, but that sometimes this harm is necessary in order to (...) protect the political community. It tackles this tension by creating an ethical framework specifically designed for intelligence that is able to balance the need to limit the damage caused while securing the political community. This is achieved by developing an ethical framework of two parts. The first part is designed to recognise those features of intelligence that might be considered ethically unacceptable by highlighting the 'harm' it can cause. Once the harm is understood, the second part of the ethical framework establishes a set of Just Intelligence Principles that outline if and when the harm caused is justified. These Just Intelligence Principles are developed by drawing upon the just war tradition and its criteria of just cause, legitimate authority, right intention, last resort, proportionality and discrimination. By placing the harm that intelligence can cause into context of the Just Intelligence Principles it is possible to ensure that intelligence collection is only carried out when the circumstances demonstrate a suitable level of threat, authorised by a sufficient level of authority, carrying a right intention, that the damage is proportional to the expected information gains, and discriminates between legitimate and illegitimate targets. The main feature of the ethical framework created, however, is that it recognises that different intelligence collection activities can cause different levels of harm and that as a result the circumstances needed to justify them must also change. The book examines three of the main collection disciplines in the field of intelligence studies: imagery intelligence, signals intelligence and human intelligence. By applying the ethical framework established at the beginning of the book to these three important intelligence collection disciplines, it is possible to better understand the ethical framework while also demonstrating its real-life applicability. This book will be of much interest to students of intelligence studies, ethics, war and conflict studies, security studies and IR. (shrink)

Defines a new way of thinking about the unprecedented environmental pressures of our day. McCallum offers a compelling argument that we must think differently about ourselves and the earth if we are to take seriously the survival of wilderness areas.

To assess the intelligence of machines, Alan Turing proposed a test of imitation known as the imitation game, famously known as the Turing test. To assess whether artificial intelligent (AI) systems could be moral or not, Colin Allen et al. developed a test of imitation in the context of morality, a test known as the Moral Turing Test (MTT), which I will, in this paper, call the moral imitation game. There are arguments against developing any type of MTT or (...) moral imitation game. Rather than developing a moral imitation game, this paper proposes a criterion of imitation for AI systems in the moral scenario. To develop a criterion of imitation, I explore the notion of moral attribution in detail. Within the case of moral attribution, I introduce the subject‐ascriber distinction. The notion of moral attribution and the subject‐ascriber distinction is employed to address the following questions: (a) how is the assessment in MTT arranged?, (b) what is the role of the interrogator in the MTT?, and (c) what information is to be concealed from the interrogator? The first question deals with the aspect of assessment, the second question deals with the reordering of the role of the interrogator and the third one deals with the concealment aspect of the imitation game. After that, a criterion of imitation for AI systems is put forward. Using the subject‐ascriber distinction in moral attribution and David Lewis' Mad Pain and Martian Pain cases, it is argued that the notion of sentience is insignificant for the ascriber for moral attributions. (shrink)

The notion of “responsibility gap” with artificial intelligence (AI) was originally introduced in the philosophical debate to indicate the concern that “learning automata” may make more difficult or impossible to attribute moral culpability to persons for untoward events. Building on literature in moral and legal philosophy, and ethics of technology, the paper proposes a broader and more comprehensive analysis of the responsibility gap. The responsibility gap, it is argued, is not one problem but a set of at least four (...) interconnected problems – gaps in culpability, moral and public accountability, active responsibility—caused by different sources, some technical, other organisational, legal, ethical, and societal. Responsibility gaps may also happen with non-learning systems. The paper clarifies which aspect of AI may cause which gap in which form of responsibility, and why each of these gaps matter. It proposes a critical review of partial and non-satisfactory attempts to address the responsibility gap: those which present it as a new and intractable problem (“fatalism”), those which dismiss it as a false problem (“deflationism”), and those which reduce it to only one of its dimensions or sources and/or present it as a problem that can be solved by simply introducing new technical and/or legal tools (“solutionism”). The paper also outlines a more comprehensive approach to address the responsibility gaps with AI in their entirety, based on the idea of designing socio-technical systems for “meaningful human control", that is systems aligned with the relevant human reasons and capacities. (shrink)

When machine learning, data and AI are reshaping the human experience, Peter Hershock gives us a new way to think about attention, presence and ethics in our changing lives by balancing Western technology with Asian philosophy. He explains how Confucian and Socratic ethics can make visible what a history of choices about remaking ourselves has rendered invisible, and applies Buddhist ideas to give us an understanding about the self and consciousness. Seamlessly blending ancient Chinese, Indian and Greek philosophy, Hershock responds (...) to the challenge of staying present during the age of technology. (shrink)

The present article aims to discuss the possibility of including the sphere of artificial intelligence production within the domain of artificial intelligence ethics and investigate its moral implications. In the first section, the role of human labour in the artificial intelligence production processes is considered, with particular reference to the distinction between high-skilled and low-skilled jobs, their differential distribution in the production process itself, and the labour conditions of ghost workers, in order to analyse the main ethical (...) issues emerging within the field. In the second section, some aspects of the existing critical literature concerning artificial intelligence and labour are discussed, focusing on Marxist and decolonial scholarship and more precisely on its lack of consideration of the global value chain through which artificial intelligence AI production processes are structured. Finally, the possibility and limits of an ethics of artificial intelligence production are reconsidered by assuming the centrality of workers’ struggles and agency along artificial intelligence's global value chain. (shrink)

In this paper I describe the imaginary community of Gullible. Gulliblians are led by moral pressures to believe whatever they are told and, in the scenario that I sketch, this leads to them having widespread contradictory beliefs. This community is nevertheless intelligible to us given what we know about their situation and their moral code. Davidson, however, holds there to be what I call a logicist constraint on interpretation: thinkers can only be interpreted if a good proportion of their beliefs (...) are rational and, for Davidson, rationality entails logical consistency. The possibility of Gullible therefore forces us to reject this logicist aspect of Davidson’s account of interpretation and intelligibility. (shrink)

Interactions between humans and machines that include artificial intelligence are increasingly common in nearly all areas of life. Meanwhile, AI-products are increasingly endowed with emotional characteristics. That is, they are designed and trained to elicit emotions in humans, to recognize human emotions and, sometimes, to simulate emotions (EAI). The introduction of such systems in our lives is met with some criticism. There is a rather strong intuition that there is something wrong about getting attached to a machine, about having (...) certain emotions towards it, and about getting involved in a kind of affective relationship with it. In this paper, I want to tackle these worries by focusing on the last aspect: in what sense could it be problematic or even wrong to establish an emotional relationship with EAI-systems? I want to show that the justifications for the widespread intuition concerning the problems are not as strong as they seem at first sight. To do so, I discuss three arguments: the argument from self-deception, the argument from lack of mutuality, and the argument from moral negligence. (shrink)

Le Journée d’étude « Pour des intelligences artificielles au service du corps vulnérable : Les contreforts de l’éthique et du droit » tenu en décembre 2021 à l’Université catholique de Lyon, en France, a permis d’explorer si l’intelligence artificielle (IA) pouvait être un levier permettant de restaurer l’égalité entre les pauvres et les riches, les femmes et les hommes, les handicapés, les sujets âgés? En contexte de pandémie Covid-19, cette question se pose partout, incluant diverses instances internationales, comme (...) les Nations Unies (ONU) et l’Union internationale des communications (UTI). Cette question nécessite de faire une analyse d’impact (levier) de l’IA pouvant engendrer plus de justice sociale (réduction des inégalités). Comment produire une telle analyse pour que l’IA puisse bénéficier à toutes et à tous sans exclure des citoyennes et citoyens de communautés marginalisées? Le problème éthique difficile à résoudre est le suivant : jusqu’où l’impact de l’IA maximise-t-il la justice en réduisant les inégalités? Ici l’analyse repose sur la connaissance des dispositifs de l’IA pouvant avoir un impact réel ou négatif. Le but de cette présentation sera de montrer, à partir de notre cadre d’analyse d’impacts des technologies et de différents textes publiés, les forces et faiblesses de l’IA, pour répondre à cette question. En appliquant ce cadre de référence, nous procédons de la façon suivante : 1) situer le problème complexe des inégalités: celles qui sont de nature générationnelle et socioéconomique auxquelles l’IA n’a que peu d’impacts; des inégalités auxquelles l’IA peut avoir des impacts, dont l’inclusion numérique et les inégalités sociales; 2) situer la terminologie de l’IA : IA faible (algorithmes) ou complète (décisionnelle et autonome); 3) faire une analyse des inégalités : inclusion numérique et inégalités sociales montrant les forces et faiblesses de l’IA. (shrink)

L’utilisation de l’intelligence artificielle dans le domaine de la santé pose la question des limites de celle-ci : jusqu’où devons-nous employer l’intelligence artificielle, la médecine pourrait-elle être déshumanisée et perdre son sens \textit{princeps}? Le philosophe Gilbert Simondon (1924-1989) propose durant la seconde moitié du vingtième siècle une philosophie de la technique. Il s’agit de repenser la technique, non pas comme aliénation, mais comme possibilité d’évolution, avec le développement de la technique. Cet article présente ainsi l’intelligence (...) artificielle comme une technique que l’humain doit s’approprier afin de limiter les risques de déshumanisation et d’optimisation du potentiel de l’intelligence artificielle. La pensée de Gilbert Simondon est alors un outil philosophique et éthique permettant d’intégrer l’intelligence artificielle dans le domaine de la médecine, en conservant tout son sens éthique. (shrink)

Les auteurs de ce livre partent d'un constat clair : il n'y a pas de problème d'intelligence artificielle, il n'y a que le problème de nos attentes à l'égard de ce que nous avons nous-mêmes créé. L'ouvrage étudie donc un enjeu sociétal actuel décisif : notre rapport aux technologies. Mené à deux voix, il interroge notre vision de l'intelligence artificielle en tant que technologie. Il présente l'intérêt du double éclairage de la philosophie et de l'informatique. L'informaticien (...) sait ce que fait ou ne fait pas la machine. Le philosophe interroge, par sa position délibérément "naïve" vis-à-vis de la technologie, le sens et la pertinence des usages que nous en faisons sur tous les plans : personnel, économique, commercial, social, politique, etc. Ces échanges montrent que, s'il y a un sujet, il n'est pas tant relatif aux technologies elles-mêmes, mais bien aux usages que nous en faisons, à ce que nous en attendons et à ce dont nous rêvons. (shrink)

Depuis dix ans et avec le mouvement big data, l’intelligence artificielle a le vent en poupe. Les acteurs politiques et économiques retrouvent ainsi un intérêt à promouvoir activement l’intelligence artificielle dans le même temps que les chercheurs issus de tous les horizons scientifiques orientent de plus en plus leurs travaux vers cet objet d’étude qui, bien souvent et à tort, leur apparaît nouveau. Cet engagement collectif est nécessaire contenu de l’immensité des enjeux humains, sociaux et économiques (...) qui sont associés au développement de l’intelligence artificielle. Le problème est qu’il s’accompagne d’un tapage médiatique qui tend à embrouiller les débats et les travaux. Un exemple frappant est le fait qu’il existe aujourd’hui plusieurs spécialistes renommés qui expriment l’idée que l’intelligence artificielle n’existe pas! De telle sorte que, même dans la communauté scientifique, il est parfois difficile d’identifier ce qu’est l’intelligence artificielle. Cet article vise à lever le voile sur cette obscurité. (shrink)

This article analyzes emerging artificial intelligence (AI)-enhanced lie detection systems from ethical and human resource (HR) management perspectives. I show how these AI enhancements transform lie detection, followed with analyses as to how the changes can lead to moral problems. Specifically, I examine how these applications of AI introduce human rights issues of fairness, mental privacy, and bias and outline the implications of these changes for HR management. The changes that AI is making to lie detection are altering the (...) roles of human test administrators and human subjects, adding machine learning-based AI agents to the situation and establishing invasive data collection processes as well as introducing certain biases in results. I project that the potentials for pervasive and continuous lie detection initiatives (“truth machines”) are substantial, displacing human-centered efforts to establish trust and foster integrity in organizations. I argue that if it is possible for HR managers to do so, they should cease using technologically-based lie detection systems entirely and work to foster trust and accountability on a human scale. However, if these AI-enhanced technologies are put into place by organizations by law, agency mandate, or other compulsory measures, care should be taken that the impacts of the technologies on human rights and wellbeing are considered. The article explores how AI can displace the human agent in some aspects of lie detection and credibility assessment scenarios, expanding the prospects for inscrutable, “black box” processes and novel physiological constructs (such as “biomarkers of deceit”) that may increase the potential for such human rights concerns as fairness, mental privacy, and bias. Employee interactions with autonomous lie detection systems rather with than human beings who administer specific tests can reframe organizational processes and rules concerning the assessment of personal honesty and integrity. The dystopian projection of organizational life in which analyses and judgments of the honesty of one’s utterances are made automatically and in conjunction with one’s personal profile provides unsettling prospects for the autonomy of self-representation. (shrink)

We have examined the attitude and moral perception of 228 college students towards artificial intelligence in an international university in Japan. The students were asked to select a single most significant ethical issue associated with AI in the future from a list of nine ethical issues suggested by the World Economic Forum, and to explain why they believed that their chosen issues were most important. The majority of students chose unemployment as the major ethical issue related to AI. The (...) second largest group of students were concerned with ethical issues related to emotional AI, including the impact of AI on human behavior and emotion. The paper discusses the results in detail and concludes that, while policymakers must consider how to ameliorate the impact of AI on employment, AI engineers need to consider the emotional aspects of AI in research and development, as well. (shrink)

L'auteur distingue, dans les.travaux sur l'intelligence artifi- cielle, deux approches : l'approche technologique et l'approche cognitiviste. Il montre que les rapprochements faits, dans l'approche cognitiviste, entre l'intelligence humaine et l'intelligence artificielle, ne vont pas de soi, et que les thèses sur l'intelligence artificielle sont largement tributaires de certaines spéculations rationalistes et empi- ristes de la philosophie classique. Il expose la principale difficulté que rencontre alors une compréhension de l'intelligence humaine à partir de l'approche (...) cognitiviste, à savoir la nécessité d'oblitérer la dimension sémantique et de professer un solipsisme radical, et il plaide en faveur d'une compréhension de l'intelligence humaine selon ce qu'elle est dans la culture plutôt que dans les machines.In the literature on artificial intelligence, the author distinguishes two approaches : the technological approach and the cognitivist approach. He shows that the parallels made between human intelligence and artificial intelligence within the cognitivist approach do not go without saying, and that the theses on artificial intelligence are largely dependent upon certain rationalist and empiricist speculations of classical philosophy. He exposes the principal problem that then encounters an understanding of human intelligence in the light of the cognitivist approach, namely the necessity to obliterate the semantic dimension and to profess a radical solipsism, and he pleads for an understanding of human intelligence commensurable with what it is in culture rather than in machines. (shrink)

In the digital era, digital games, particularly those in virtual spaces, have become integral to daily life, offering users not only a blend of real and virtual world interactions but also an enhanced sense of happiness and fulfilment. However, traditional digital gaming modes often fall short in meeting the increasing demands for higher quality and more immersive experiences. This paper proposes a new model for the development of artificial intelligence-driven digital games based on virtual space, addressing the ethical and (...) spiritual implications of such advancements. The research builds on data from a 2018 user expectation survey, which indicated significant demand for enhanced virtual reality (VR) games, improved voice communication, and tactile interaction within these environments. We developed a multidimensional model incorporating vision, touch, and auditory feedback, utilizing a Kinect-based haptic interaction redirection algorithm to enhance physical-virtual interaction. This algorithm significantly reduces angular deviation by 10% in virtual navigation, enhancing the boundary definition in virtual spaces and thereby improving the immersive experience. Further enhancements include an Encoder-Decoder (ED) framework for voice communication that employs a neural network with multiple feedback loops to adjust weight values, improving speech recognition accuracy by 15%. This system provides a more responsive and realistic communication environment within digital games. Lastly, the application of computer vision technology and deep learning techniques, including a backpropagation (BP) neural network, improves the system's image recognition capabilities, extending its precision and capacity for rendering high-definition, precise game graphics. This study not only advances the technical aspects of AI in gaming but also prompts a deeper philosophical discussion on the ethical and spiritual impacts of these immersive virtual environments. As AI continues to blur the lines between reality and virtuality, this research invites further inquiry into how such technologies influence human perception, behavior, and morality within digital spaces. (shrink)

This book gathers contributions from the fourth edition of the Conference on "Philosophy and Theory of Artificial Intelligence" (PT-AI), held on 27-28th of September 2021 at Chalmers University of Technology, in Gothenburg, Sweden. It covers topics at the interface between philosophy, cognitive science, ethics and computing. It discusses advanced theories fostering the understanding of human cognition, human autonomy, dignity and morality, and the development of corresponding artificial cognitive structures, analyzing important aspects of the relationship between humans and AI systems, (...) including the ethics of AI. This book offers a thought-provoking snapshot of what is currently going on, and what are the main challenges, in the multidisciplinary field of the philosophy of artificial intelligence. (shrink)

The question whether AI systems have agency is gaining increasing importance in discussions of responsibility for AI behavior. This paper argues that an approach to artificial agency needs to be teleological, and consider the role of human goals in particular if it is to adequately address the issue of responsibility. I will defend the view that while AI systems can be viewed as autonomous in the sense of identifying or pursuing goals, they rely on human goals and other values incorporated (...) into their design, and are, as such, dependent on human agents. As a consequence, AI systems cannot be held morally responsible, and responsibility attributions should take into account normative and social aspects involved in the design and deployment of the said AI. My argument falls in line with approaches critical of attributing moral agency to artificial agents, but draws from the philosophy of action, highlighting further philosophical underpinnings of current debates on artificial agency. (shrink)