We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

Selections from the sayings of Zhuangzi rendered into cartoon form and translated into English.

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

By mid-2019 there were more than 80 AI ethics guides available in the public domain. Despite this, 2020 saw numerous news stories break related to ethically questionable uses of AI. In part, this is because AI ethics theory remains highly abstract, and of limited practical applicability to those actually responsible for designing algorithms and AI systems. Our previous research sought to start closing this gap between the ‘what’ and the ‘how’ of AI ethics through the creation of a searchable typology (...) of tools and methods designed to translate between the five most common AI ethics principles and implementable design practices. Whilst a useful starting point, that research rested on the assumption that _all_ AI practitioners are aware of the ethical implications of AI, understand their importance, and are actively seeking to respond to them. In reality, it is unclear whether this is the case. It is this limitation that we seek to overcome here by conducting a mixed-methods qualitative analysis to answer the following four questions: what do AI practitioners understand about the need to translate ethical principles into practice? What motivates AI practitioners to embed ethical principles into design practices? What barriers do AI practitioners face when attempting to translate ethical principles into practice? And finally, what assistance do AI practitioners want and need when translating ethical principles into practice? (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

As the use of AI systems continues to increase, so do concerns over their lack of fairness, legitimacy and accountability. Such harmful automated decision-making can be guarded against by ensuring AI systems are contestable by design: responsive to human intervention throughout the system lifecycle. Contestable AI by design is a small but growing field of research. However, most available knowledge requires a significant amount of translation to be applicable in practice. A proven way of conveying intermediate-level, generative design knowledge is (...) in the form of frameworks. In this article we use qualitative-interpretative methods and visual mapping techniques to extract from the literature sociotechnical features and practices that contribute to contestable AI, and synthesize these into a design framework. (shrink)

Machine unlearning (MU) is often analyzed in terms of how it can facilitate the “right to be forgotten.” In this commentary, we show that MU can support the OECD’s five principles for trustworthy AI, which are influencing AI development and regulation worldwide. This makes it a promising tool to translate AI principles into practice. We also argue that the implementation of MU is not without ethical risks. To address these concerns and amplify the positive impact of MU, we offer policy (...) recommendations across six categories to encourage the research and uptake of this potentially highly influential new technology. (shrink)

AAL encompasses smart home technologies that are installed in the personal living environment in order to support older, disabled, as well as chronically ill people with the goal of delaying or reducing their need for nursing care in a care facility. Artificial intelligence (AI) is seen as an important tool for assisting the target group in their daily lives. A literature search and qualitative content analysis of 255 articles from computer science and engineering was conducted to explore the usage of (...) ethical concepts. From an ethical point of view, the concept of independence and self-determination on the one hand and the possible loss of privacy on the other hand are widely discussed in the context of AAL. These concepts are adopted by the technical discourse in the sense that independence, self-determination and privacy are recognized as important values. Nevertheless, our research shows that these concepts have different usages and meanings in the ethical and the technical discourses. In the paper, we aim to map the different meanings of independence, self-determination and privacy as they can be found in the context of technological research on AI-based AAL systems. It investigates the interpretation of these ethical and social concepts which technicians try to build into AAL systems. In a second step, these interpretations are contextualized with concepts from the ethical discourse on AI-based assistive technologies. (shrink)

We discuss the implementation of Responsible Research and Innovation (RRI) within a project for the development of an AI-supported exergame for assisted movement training, outline outcomes and reflect on methodological opportunities and limitations. We adopted the responsibility-by-design (RbD) standard (CEN CWA 17796:2021) supplemented by methods for collaborative, ethical reflection to foster and support a shift towards a culture of trustworthiness inherent to the entire development process. An embedded ethicist organised the procedure to instantiate a collaborative learning effort and implement RRI (...) in a translational context. Within the interdisciplinary setting of the collaboration and with the support of a technoethicist, we successfully identified relevant, project-specific challenges and developed a roadmap with derived actions, thus meaningfully integrating RRI into the development process. We discuss the methodological procedure in terms of its effectiveness and efficiency, the allocation of responsibilities and roles, particularly regarding potential frictions in the interdisciplinary context with embedded ethics, and the challenges of the translational context. We conclude that the responsibility-by-design standard effectively established a productive workflow for collaborative investigation and work on ethical challenges. We reflect on methodological difficulties and propose possible avenues to our approach. (shrink)

Artificial intelligence is widely seen as the most important technology of our time and has attracted a huge amount of interest regarding not only its technological capabilities but also its economic and ethical impact. It has, however, been less discussed with regard to the book world and publishing. AI is applicable to publishing at multiple levels, all of them significant. It could change the business-processing aspects of publishing; but, even more importantly, the latest advances in machine learning from the likes (...) of Google and OpenAI demonstrate a powerful capacity to translate and even compose text. Publishing and publishing studies alike need to grapple with the implications of a world where machines as well as humans can produce the core product. (shrink)

The French-Japanese movie Ai no corrida is one of the most controversial movies in the history of cinematography. Nagisa Oshima found inspiration in a famous true story from 1936 imperialist Japan and then his movie about a destructive passion without limits was presented at Cannes in 1976. L’Empire des sens, as the translation of the title in French referring to Barthes’s L’Empire des signes, is the story of a destiny and of a psychic structure. In the end of the movie (...) there is a powerful scene with an open air theatre and the image of a young girl who plays hide and seek with an old man and keeps asking him if he is ready or not, the old man saying not yet and then vanishing: here the eternized use of the object can be understood in the framework of what French psychoanalyst Jacques Lacan called forclusion. In the case of the psychotic structure there has never been an extraction of object a due to which the reality field could find its frame. And thus, the destiny of Sada Abe finds itself bounded to an object without cession and to its fulfillment in the Japanese kareiakana, that is clear open sky. Yet, since the phantasm is the writing of the non-sexual relation, as the subject’s entrance to the real, Oshima’s movie is not only about the phantasm, it is about the real. (shrink)

The translation of proverbs is an act of cross-cultural transmission that plays a vital role in the preservation and dissemination of shared knowledge within a community. While traditional dictionaries are invaluable in the translation of sayings, there is a growing trend to replace them with machine translation (MT) programmes. Although some studies have investigated the quality of machine translation of proverbs, research in this area is relatively limited. The study evaluates the quality of machine translation of 18 proverbs in Google (...) Translate, DeepL, PONS, and the two most recent large language model tools, ChatGPT-3.5 and Google Bard. The research is conducted with two hypotheses: first, human translator supervision is essential in the case of non-literal translations such as proverbs; second, the role of the translator is changing, and in its current form, it is more often reduced to an attentive post-editor. The paper aims to achieve two objectives: first, the evaluation of the quality of machine-translated proverbs in the EN-PL pair, and second, the analysis and classification of errors occurring in machine translation of proverbs in the EN-PL pair. The research revealed that AI tools presented the highest accuracy for proverb translations, with scores of 61% (ChatGPT) and 44% (Google Bard) in Polish-to-English translation and 38% (ChatGPT) and 50% (Google Bard) in English-to-Polish translation. Furthermore, the study revealed errors typical of translation tools based on large language models such as ChatGPT and Google Bard. (shrink)

AI algorithms might be gender biased as evidenced from translation programs, credit calculators and autocomplete features, to name a few. This article maps gender biases in technologies according to the postphenomenological formula of I-technology-world. This is the basis for mapping the gender biases in AI algorithms, and for proposing up-dates to the postphenomenological formula. The updates include refereces to I-algo-rithm-dataset, and the reversal of the intetionality arrow to reflect the lower position of the human user. The last section reviews three (...) ethical analyses for AI algorithms - dis-tributive justice, ethics of care and mediation theory's ethics. (shrink)

In recent years, the European Union has advanced towards responsible and sustainable Artificial Intelligence (AI) research, development and innovation. While the Ethics Guidelines for Trustworthy AI released in 2019 and the AI Act in 2021 set the starting point for a European Ethical AI, there are still several challenges to translate such advances into the public debate, education and practical learning. This paper contributes towards closing this gap by reviewing the approaches that can be found in the existing literature and (...) by interviewing 11 experts across five countries to help define educational strategies, competencies and resources needed for the successful implementation of Trustworthy AI in Higher Education (HE) and to reach students from all disciplines. The findings are presented in the form of recommendations both for educators and policy incentives, translating the guidelines into HE teaching and practice, so that the next generation of young people can contribute to an ethical, safe and cutting-edge AI made in Europe. (shrink)

In Chinese pre-Qin period, Mohism was the first school that challenged Confucianism. A common view is that Mohists attacked Confucianism by proposing jian ai, often translated as “universal love,” that opposes Confucian “graded love”. The Confucian-Mohist debate on ethics is often regarded as a debate between Mohist “universal love,” on the one hand; and Confucian emphasis on family and kinship, on the other. However, it is misleading to translate jian ai as “universal love,” as it distorts our understanding of the (...) debate. The word jian in classical Chinese means “inclusive,” not “impartial”. The Jian Ai chapters in the Mozi do not object to the idea that our moral practices ought to vary according to our relationship with others and their social positions. Furthermore, Mohist jian ai was not proposed in the first instance to refute Confucian ideas. The Confucian-Mohist debate should not be understood as a battle between nepotism and excessive insistence on impartiality, because both of them advocate that we should care for people in general and that we should maintain close relational ties. (shrink)

English translation of the commentary on Tattvatrayam of Piḷḷai Lokācāryar, treatise on Viśiṣṭādvaita philosophy.

Among the myriad of technical approaches and abstract guidelines proposed to the topic of AI bias, there has been an urgent call to translate the principle of fairness into the operational AI reality with the involvement of social sciences specialists to analyse the context of specific types of bias, since there is not a generalizable solution. This article offers an interdisciplinary contribution to the topic of AI and societal bias, in particular against the poor, providing a conceptual framework of the (...) issue and a tailor-made model from which meaningful data are obtained using Natural Language Processing word vectors in pretrained Google Word2Vec, Twitter and Wikipedia GloVe word embeddings. The results of the study offer the first set of data that evidences the existence of bias against the poor and suggest that Google Word2vec shows a higher degree of bias when the terms are related to beliefs, whereas bias is higher in Twitter GloVe when the terms express behaviour. This article contributes to the body of work on bias, both from and AI and a social sciences perspective, by providing evidence of a transversal aggravating factor for historical types of discrimination. The evidence of bias against the poor also has important consequences in terms of human development, since it often leads to discrimination, which constitutes an obstacle for the effectiveness of poverty reduction policies. (shrink)

Modern digital technologies—from web-based services to Artificial Intelligence (AI) solutions—increasingly affect the daily lives of billions of people. Such innovation brings huge opportunities, but also concerns about design, development, and deployment of digital technologies. This article identifies and discusses five clusters of risk in the international debate about digital ethics: ethics shopping; ethics bluewashing; ethics lobbying; ethics dumping; and ethics shirking.

Achieving the global benefits of artificial intelligence (AI) will require international cooperation on many areas of governance and ethical standards, while allowing for diverse cultural perspectives and priorities. There are many barriers to achieving this at present, including mistrust between cultures, and more practical challenges of coordinating across different locations. This paper focuses particularly on barriers to cooperation between Europe and North America on the one hand and East Asia on the other, as regions which currently have an outsized impact (...) on the development of AI ethics and governance. We suggest that there is reason to be optimistic about achieving greater cross-cultural cooperation on AI ethics and governance. We argue that misunderstandings between cultures and regions play a more important role in undermining cross-cultural trust, relative to fundamental disagreements, than is often supposed. Even where fundamental differences exist, these may not necessarily prevent productive cross-cultural cooperation, for two reasons: (1) cooperation does not require achieving agreement on principles and standards for all areas of AI; and (2) it is sometimes possible to reach agreement on practical issues despite disagreement on more abstract values or principles. We believe that academia has a key role to play in promoting cross-cultural cooperation on AI ethics and governance, by building greater mutual understanding, and clarifying where different forms of agreement will be both necessary and possible. We make a number of recommendations for practical steps and initiatives, including translation and multilingual publication of key documents, researcher exchange programmes, and development of research agendas on cross-cultural topics. (shrink)

One of the core doctrines of Mozi 墨子 is his teaching on jian'ai 兼愛, and this is discussed primarily in the three chapters bearing this term in their title.1 The term "jian'ai" and its theme also appear scattered throughout the Mozi, such as in chapters like "Standards and Rules" and the "Intention of Tian." Jian'ai has been translated into English as "Universal Love," "Inclusive Care," "Impartial Care," and other similar phrases. As these various translations suggest, there is not yet a (...) prevailing consensus on the exact meaning of jian'ai.2Despite his renowned clarity and simplicity and his skill at argumentation, those who try to pin down Mozi's teaching on jian'ai soon encounter difficulties. I think there are... (shrink)

This is a translation of the review by Peter Gärdenfors of Jobst Landgrebe and Barry Smith, Why Machines Will Never Rule the World (Routledge 2023).

Purpose As Big Data and Artificial Intelligence (AI) proliferate, calls have emerged for ethical reflection. Ethics guidelines have played a central role in this respect. While quantitative research on the ethics guidelines of AI/Big Data has been undertaken, there has been a dearth of systematic qualitative analyses of these documents. Design/methodology/approach Aiming to address this research gap, this paper analyses 70 international ethics guidelines documents from academia, NGOs and the corporate realm, published between 2017 and 2020. Findings The article presents (...) four key findings: existing ethics guidelines (1) promote a broad spectrum of values; (2) focus principally on AI, followed by (Big) Data and algorithms; (3) do not adequately define the term “ethics” and related terms; and (4) have most frequent recourse to the values of “transparency,” “privacy,” and “security.” Based on these findings, the article argues that the guidelines corpus exhibits discernible utilitarian tendencies; guidelines would benefit from greater reflexivity with respect to their ethical framework; and virtue ethical approaches have a valuable contribution to make to the process of guidelines development. Originality/value The paper provides qualitative insights into the ethical discourse surrounding AI guidelines, as well as a concise overview of different types of operative translations of theoretical ethical concepts vis-à-vis the sphere of AI. These may prove beneficial for (applied) ethicists, developers and regulators who understand these guidelines as policy. (shrink)

As artificial intelligence (AI) deployment is growing exponentially, questions have been raised whether the developed AI ethics discourse is apt to address the currently pressing questions in the field. Building on critical theory, this article aims to expand the scope of AI ethics by arguing that in addition to ethical principles and design, the organizational dimension (i.e. the background assumptions and values influencing design processes) plays a pivotal role in the operationalization of ethics in AI development and deployment contexts. Through (...) the prism of critical theory, and the notions of underdetermination and technical code as developed by Feenberg in particular, the organizational dimension is related to two general challenges in operationalizing ethical principles in AI: (a) the challenge of ethical principles placing conflicting demands on an AI design that cannot be satisfied simultaneously, for which the term ‘inter-principle tension’ is coined, and (b) the challenge of translating an ethical principle to a technological form, constraint or demand, for which the term ‘intra-principle tension’ is coined. Rather than discussing principles, methods or metrics, the notion of technical code precipitates a discussion on the subsequent questions of value decisions, governance and procedural checks and balances. It is held that including and interrogating the organizational context in AI ethics approaches allows for a more in depth understanding of the current challenges concerning the formalization and implementation of ethical principles as well as of the ways in which these challenges could be met. (shrink)

Could translation be fully automated? We must first acknowledge the complexity, ambiguity, and diversity of natural languages. These aspects of natural languages, when combined with a particular dilemma known as the computational dilemma, appear to imply that the machine translator faces certain obstacles that a human translator has already managed to overcome. At the same time, science has not yet solved the problem of how human brains process natural languages and how human beings come to acquire natural language (...) understanding. We will then distinguish between the task of translation and the responsibility of the translator. Thereafter, we will conduct a survey of the methods of machine translation (viz. RBMT, SMT, NMT, foundation models or large language models). These methods will then be critically evaluated both in general and relative to Bar-Hillel’s hypothesis about the impossibility of fully automatic, high-quality machine translation (Fahqmt). Some concluding remarks will be made about the scope, prospects, and limits of machine translation. (shrink)

It is widely acknowledged that high-level AI principles are difficult to translate into practices via explicit rules and design guidelines. Consequently, many AI research and development groups that claim to adopt ethics principles have been accused of unwarranted “ethics washing”. Accordingly, there remains a question as to if and how high-level principles should be expected to influence the development of safe and beneficial AI. In this short commentary I discuss two roles high-level principles might play in AI ethics and governance. (...) The first and most often discussed “start-point” function quickly succumbs to the complaints outlined above. I suggest, however, that a second “cultural influence” function is where the primary value of high-level principles lies. (shrink)

In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified, discriminatory decisions wrongly assumed to be accurate because they are made automatically and quantitatively. It is becoming evident that these technological developments are consequential to people’s fundamental human rights. Despite increasing attention to (...) these urgent challenges in recent years, technical solutions to these complex socio-ethical problems are often developed without empirical study of societal context and the critical input of societal stakeholders who are impacted by the technology. On the other hand, calls for more ethically and socially aware AI often fail to provide answers for how to proceed beyond stressing the importance of transparency, explainability, and fairness. Bridging these socio-technical gaps and the deep divide between abstract value language and design requirements is essential to facilitate nuanced, context-dependent design choices that will support moral and social values. In this paper, we bridge this divide through the framework of Design for Values, drawing on methodologies of Value Sensitive Design and Participatory Design to present a roadmap for proactively engaging societal stakeholders to translate fundamental human rights into context-dependent design requirements through a structured, inclusive, and transparent process. (shrink)

The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI systems can (and should) be regulated. In this article, we describe and discuss the two primary enforcement mechanisms proposed in the AIA: the _conformity assessments_ that providers of high-risk AI systems are expected to conduct, and (...) the _post-market monitoring plans_ that providers must establish to document the performance of high-risk AI systems throughout their lifetimes. We argue that the AIA can be interpreted as a proposal to establish a Europe-wide ecosystem for conducting AI auditing, albeit in other words. Our analysis offers two main contributions. First, by describing the enforcement mechanisms included in the AIA in terminology borrowed from existing literature on AI auditing, we help providers of AI systems understand how they can prove adherence to the requirements set out in the AIA in practice. Second, by examining the AIA from an auditing perspective, we seek to provide transferable lessons from previous research about how to refine further the regulatory approach outlined in the AIA. We conclude by highlighting seven aspects of the AIA where amendments (or simply clarifications) would be helpful. These include, above all, the need to translate vague concepts into verifiable criteria and to strengthen the institutional safeguards concerning conformity assessments based on internal checks. (shrink)

Meaningful human control over AI is exalted as a key tool for assuring safety, dignity, and responsibility for AI and automated decision-systems. It is a central topic especially in fields that deal with the use of AI for decisions that could cause significant harm, like AI-enabled weapons systems. This paper argues that discussions regarding meaningful human control commonly fail to identify the purpose behind the call for meaningful human control and that stating that purpose is a necessary step in deciding (...) how best to institutionalize meaningful human control over AI. The paper identifies 5 common purposes for human control and sketches how different purpose translate into different institutional design. (shrink)

This is a translation of the review by Peter Gärdenfors of Jobst Landgrebe and Barry Smith, Why Machines Will Never Rule the World (Routledge 2023).

Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too principles-oriented and entail a theory–practice gap. Several applied ethical approaches try to prevent such a gap by conceptually translating ethical theory into practice. In this article, we explore how the currently most prominent approaches of AI ethics translate ethics into practice. Therefore, we examine three approaches to applied AI ethics: the embedded ethics approach, the ethically aligned approach, and the Value Sensitive Design (VSD) approach. We analyze each (...) of these three approaches by asking how they understand and conceptualize theory and practice. We outline the conceptual strengths as well as their shortcomings: an embedded ethics approach is context-oriented but risks being biased by it; ethically aligned approaches are principles-oriented but lack justification theories to deal with trade-offs between competing principles; and the interdisciplinary Value Sensitive Design approach is based on stakeholder values but needs linkage to political, legal, or social governance aspects. Against this background, we develop a meta-framework for applied AI ethics conceptions with three dimensions. Based on critical theory, we suggest these dimensions as starting points to critically reflect on the conceptualization of theory and practice. We claim, first, that the inclusion of the dimension of affects and emotions in the ethical decision-making process stimulates reflections on vulnerabilities, experiences of disregard, and marginalization already within the AI development process. Second, we derive from our analysis that considering the dimension of justifying normative background theories provides both standards and criteria as well as guidance for prioritizing or evaluating competing principles in cases of conflict. Third, we argue that reflecting the governance dimension in ethical decision-making is an important factor to reveal power structures as well as to realize ethical AI and its application because this dimension seeks to combine social, legal, technical, and political concerns. This meta-framework can thus serve as a reflective tool for understanding, mapping, and assessing the theory–practice conceptualizations within AI ethics approaches to address and overcome their blind spots. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

This article probes the practical ethical implications of AI system design by reconsidering the important topic of bias in the datasets used to train autonomous intelligent systems. The discussion draws on recent work concerning behaviour-guiding technologies, and it adopts a cautious form of technological utopianism by assuming it is potentially beneficial for society at large if AI systems are designed to be comparatively free from the biases that characterise human behaviour. However, the argument presented here critiques the common well-intentioned requirement (...) that, in order to achieve this, all such datasets must be debiased prior to training. By focusing specifically on gender-bias in Neural Machine Translation systems, three automated strategies for the removal of bias are considered – downsampling, upsampling, and counterfactual augmentation – and it is shown that systems trained on datasets debiased using these approaches all achieve general translation performance that is much worse than a baseline system. In addition, most of them also achieve worse performance in relation to metrics that quantify the degree of gender bias in the system outputs. By contrast, it is shown that the technique of domain adaptation can be effectively deployed to debias existing NMT systems after they have been fully trained. This enables them to produce translations that are quantitatively far less biased when analysed using gender-based metrics, but which also achieve state-of-the-art general performance. It is hoped that the discussion presented here will reinvigorate ongoing debates about how and why bias can be most effectively reduced in state-of-the-art AI systems. (shrink)

Cet article résume et apprécie un livre récemment sorti sur l'Epître aux Roamins : Joseph A. Fitzmeyer, Romans. A New Translation with Introduction and Commentary . Il s'agit d'une traduction nouvelle de l'Epître accompagnée d'un commentaire exégétique. L'A. ici rend compte des raisons qui motivent un livre nouveau sur cette question pourtant saturée de réponses. Dans une seconde partie, il expose clairement la structure de l'ouvrage. En conclusion, il en apprécie la valeur.

In their article ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’, Durán and Jongsma discuss the epistemic and ethical challenges raised by black box algorithms in medical practice. The opacity of black box algorithms is an obstacle to the trustworthiness of their outcomes. Moreover, the use of opaque algorithms is not normatively justified in medical practice. The authors introduce a formalism, called computational reliabilism, which allows generating justified beliefs on the (...) algorithm reliability and trustworthy outcomes of artificial intelligence systems by means of epistemic warrants, called reliability indicators. However, they remark the need for reliability indicators specific to black box algorithms and that justified knowledge is not sufficient to justify normatively the actions of the physicians using medical AI systems. Therefore, Durán and Jongsma advocate for a more transparent design and implementation of black box algorithms, providing a series of recommendations to mitigate the epistemic and ethical challenges behind their use in medical practice. In this response, I argue that a peculiar form of black box algorithm transparency, called design publicity, may efficiently implement these recommendations. Design publicity encodes epistemic, that is, reliability indicators, and ethical recommendations for black box algorithms by means of four subtypes of transparency. These target the values and goals, their translation into design requirements, the performance and consistency of the algorithm altogether. I discuss design publicity applying it to a use case focused on the automated classification of skin lesions from medical images. (shrink)

Hebrew translation of Ibn Tufail's Risalāt Ḥayy Ibn Yaqdhān with commentary in Hebrew and notes.

As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of (...) AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible or too strict. This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’. (shrink)

The World Wide Web has been a fundamental part of our daily lives for years. Its algorithmic framework ensnares our online journeys in an “endless recurrence” of the “same” by creating multiple filter bubbles. Digital algorithms establish a precise “order of discourse,” leaving little to no room for deviation. Functioning as a colossal machinic apparatus, the web embodies the culmination of Artificial Intelligence (AI), transforming every piece of posted content into a database that profiles our online behavior and activities. This (...) article explores whether approaches that describe everyday human communication, such as the theories of relevance developed by Alfred Schutz, or by Dan Sperber and Deirdre Wilson, can be applied to the realm of digital algorithmic grammars governing the web, and to the semiospheres that animate it. The conclusions raise some doubts: a gap exists between algorithmic language and its historical counterparts, characterized by a disparity between logical-mathematical grammar and other linguistic-historical-natural ones. While these two types of languages coexist within the digital landscape, their relevance differs; what may be “relevant” in an algebraic context may not necessarily translate to our live conversational exchanges, and vice versa. Although merged in the digital sphere, these languages operate distinctly, and proficiency in one does not guarantee adeptness in interpreting the other accurately. (shrink)

This essay explores the legacy of the Platonic philosophy at the end of the sixteenth century, when the Catholic Church switched from a tolerant approach to a rejection of the heterodox elements of the prisca theologia, and provides an analysis of Ciro Spontoni’s Corona del principe (1590) and Dodici libri del governo di Stato (1599). This two works clearly witnessed this change in the contemporary cultural climate, as Katinis shows highlighting the contrast between the massive presence of Platonism and Hermeticism (...) in the Corona and the exclusion of them from the Dodici libri. Furthermore, the essay examines the relationship between Spontoni’s political arguments and their sources. The essay addresses the major contemporary trends, including Platonism, Aristotelianism, Machiavellism, and Hermeticism, and pays particular attention to Marsilio Ficino’s commentary of Plato’s Republic, translated in vernacular by Spontoni himself and published with his Corona del principe. (shrink)

Imagine a man chatting with his AI girlfriend app. He looks at his smartphone and says, ‘Finally, I'm being understood’. Is he deceiving himself? Is there anything morally wrong with it? The human tendency to anthropomorphize AI is well established, and the popularity of AI companions is growing. This article answers three questions: (1) How can being charmed by AI's simulated emotions be considered self‐deception? (2) Why might we have an obligation to avoid harmless self‐deception? (3) When is self‐deception in (...) emotional relationships with AI morally questionable, and can it be blameworthy? Regarding question 1, I describe being seduced by AI's simulated emotions as self‐deception, where desires bias beliefs. In response to question 2, I outline two ways to justify a prima facie obligation to avoid harmless self‐deception – instrumental and autotelic. For question 3, I highlight crucial factors to consider in assessing the blameworthiness of harmless self‐deception, such as the emotional and cognitive competences of the self‐deceiver, reasons for self‐deception, and its consequences for one's predispositions, self‐image, and other people. Moreover, I argue that the ethical requirement to avoid self‐deception does not easily translate into attributing blame to others for being self‐deceived. (shrink)

While rapid advances in artificial intelligence hiring tools promise to transform the workplace, these algorithms risk exacerbating existing biases against marginalized groups. In light of these ethical issues, AI vendors have sought to translate normative concepts such as fairness into measurable, mathematical criteria that can be optimized for. However, questions of disability and access often are omitted from these ongoing discussions about algorithmic bias. In this paper, I argue that the multiplicity of different kinds and intensities of people’s disabilities and (...) the fluid, contextual ways in which they manifest point to the limits of algorithmic fairness initiatives. In particular, existing de-biasing measures tend to flatten variance within and among disabled people and abstract away information in ways that reinforce pathologization. While fair machine learning methods can help mitigate certain disparities, I argue that fairness alone is insufficient to secure accessible, inclusive AI. I then outline a disability justice approach, which provides a framework for centering disabled people’s experiences and attending to the structures and norms that underpin algorithmic bias. (shrink)

The Niśvāsatattvasaṃhitā: The Earliest Surviving Śaiva Tantra, vol. 1: A Critical and Annotated Translation of the Mūlasūtra, Uttarasūtra and Nayasūtra. Edited by Dominic Goodall in collaboration with Alexis Sanderson and Harunaga Isaacson with contributions of NiraJan Kaflr, Diwakar Acharya, and others. Collection Indologie, no. 128, Early Tantra Series, no. 1. Pondichéry: institut Français de Pondichéry, Paris: École Française d’Extrême-Orient, Hamburg: Asien-Afrika-Institut, Universität Hamburg, 2015. Pp. 662. Rs. 1200, €52.

An Enquiry into the Nature of Liberation: Bhaṭṭa Rāmakaṇṭha’s Paramokṣanirāsakārikāvṛtti, a Commentary on Sadyojyotiḥ’s Refutation of Twenty Conceptions of the Liberated State. Edited and translated by Alex Watson, Dominic Goodall, and S. L. P. Anjaneya Sarma. Collection Indologie, vol. 122. Pondicherry: Institut Français de Pondichéry, École française d’Extrême-Orient, 2013. Pp. 508. €38.

인공지능 칩을 뇌에 장착함으로써 인간의 인지능력을 향상시킬 수 있을까? 이런 향상이 실현될 수 있으려면 어떤 조건이 충족되어야 하는가? 이 논문은 인공지능이 인간 인지체계의 일부로 작동할 수 있을 조건을 따짐으로써 인공지능을 활용하여 인지능력을 향상하는 일을 전망하는 데 일조하려 한다. 이 일을 위하여 이 논문은 중앙신경체계에 연결되어 생각대로 움직이는 의수의 경우, 뇌에 알파고 칩을 장착하고 바둑을 두는 사람의 경우, 그리고 외국어 통 · 번역 인공지능을 작동하는 칩을 두개골 안에 이식한 사람의 경우를 차례로 검토한다. 생체공학 의수는 인공지능으로 사람이 더 똑똑해지는 경우는 아니지만 인공지능이 (...) 인지체계의 작동을 보완하는 실질적인 활용의 가능성을 함축하고 있다. 뇌 안에 이식된 알파고 칩에 관한 검토는 모종의 확률이 개입하는 인지능력 향상이 가능하다는 결론에 도달하지만, 그 과정에서 결정과 제어의 주체에 관한 물음을 촉발하고 이로 인해 ‘인간이 인공지능을 활용한다’는 구조를 재고하게 한다. 통 · 번역 인공지능의 경우에 대한 검토는 이 기술을 활용할 수 있게 할 특정 방식을 전망하게 하지만, 그 방식은 그 사람의 인지능력 자체를 향상하는 것이 아니다. 인간의 뇌가 언어의 의미를 어떻게 처리하는지 해명되기 전까지는 통 · 번역 인공지능을 인간 인지체계의 일부로 활용하는 일이 불가능할 것이다. (shrink)

The Four Hundred Songs of Love: An Anthology of Poems from Classical Tamil. The Akanāṉūṟu. Translated and annotated by George L. Hart. Regards sur l’Asie du Sud/South Asian Perspectives, no. 7. Pondichéry: Institut FrançaIs de Pondichéry, 2015. Pp. xx + 485. Rs. 1000, €43.

Considerable attention has been given to the accessibility of legal documents, such as legislation and case law, both in legal information retrieval (query formulation, search algorithms), in legal information dissemination practice (numerous examples of on-line access to formal sources of law), and in legal knowledge-based systems (by translating the contents of those documents to ready-to-use rule and case-based systems). However, within AI & law, it has hardly ever been tried to make the contents of sources of law, and the relations (...) among them, more accessible to those without a legal education. This article presents a theory about translating sources of law into information accessible to persons without a legal education. It illustrates the theory by providing two elaborated examples of such translation ventures. In the first example, formal sources of law in the domain of exchanging police information are translated into rules of thumb useful for policemen. In the second example, the goal of providing non-legal professionals with insight into legislative procedures is translated into a framework for making available sources of law through an integrated legislative calendar. Although the theory itself does not support automating the several stages described, in this article some hints are given as to what such automation would have to look like. (shrink)

En 1576 l'humaniste Antoine de Laval produit à partir du texte de l'édition princeps publiée la même année à Paris par l'exilé florentin Jacopo Corbinelli la première version en langue française des Ricordi de Francesco Guicciardini. La traduction répond à la nécessité, très vivante en France à la fin du XVIe siècle, de préparer une sorte de vademecum pour la formation du souverain, capable de fournir des modèles universels adaptables à des situations et des contextes disparates dans la pratique politique (...) des ambassadeurs, des conseillers et des secrétaires. Dans un moment de crise du rôle et des fonctions de la souveraineté, Antoine de Laval offre une collection de préceptes pour la cour, afin de défendre l'unité et la stabilité de la monarchie."--Back cover. (shrink)

Deep Rivers: Selected Writings on Tamil Literature. By François Gros. Translated by M. P. Boseman. Edited by Kannan M. and Jennifer Clare. Institut Français de Pondichéry Publications Hors Série, vol. 10. Pondichéry: Institut Français de Pondichéry and Tamil Chair, Department of South and Southeast Asian Studies, University of California at Berkeley, 2009. Pp. xxxviii + 519.

The Brahmayāmalatantra or Picumata, vol. II: The Religious Observances and Sexual Rituals of the Tantric Practitioner: Chapters 3, 21, and 45. A Critical Edition and Annotated Translation. By Csaba Kiss. Collection Indologie, vol. 130, Early Tantra Series, vol. 3. Pondicherry: Institut Français de Pondichéry/eÉcole Française d’extrême-Orient; Hamburg: Asien-Afrika-Institut, Universität Hamburg, 2015. Pp. 373. €32, Rs. 750.