We must do away with explanation, and description alone must take its place. And this description gets its light, that is to say its purpose, from … philosophical problems. These are, of course, not empirical problems; they are solved, rather, by looking into the workings of our language, and that in such a way as to make us recognize those workings: in spite of an urge to misunderstand them. The problems are solved, not by giving new information, but by arranging (...) what we have already known. Philosophy is a battle against the bewitchment of our intelligence by means of language. (shrink)

Wittgenstein said in the Investigations, ‘A philosophical problem has the form: “I don't know my way about”’ (§ 123). The problem of mirror reversal—specifically the twentieth-century transatlantic controversy between the psychologist Richard Gregory, the mathematical columnist Martin Gardner, the physicist Richard Feynman and various analytic philosophers, including David Pears, Ned Block and Don Locke—is presented here as an instructive case of our not knowing our way about. ‘Why do mirrors reverse left and right but not up and down?’ We discover (...) that our perplexity disappears as we get clearer about the employment of the familiar oppositions left and right, up and down, back and front, and others. Finding our way about in these logico-grammatical fells, we see connections with our troubles in more vertiginous landscapes. Our disquietude may not be deep (§ 111) but the ‘battle against the bewitchment of our intelligence’ (§ 109) is surprisingly severe. (shrink)

비트겐슈타인은 자신의 철학적 탐구에서 일목요연한 묘사가 근본적으로 중요하다고 말 한다. 해커는 일목요연한 묘사를 규칙의 상세화로 본다. 반면에 베이커는 일목요연한 묘사 가 철학적 질병에 빠진 사람들을 치료하는 행위로 본다. 이리하여 비트겐슈타인의 문법적 탐구는 해커에서는 해명이 되고, 베이커에서는 치료가 된다. 그러나 둘 다 비트겐슈타인이 철학적 문제를 해결하기 위해 언어의 사용을 일목요연하게 묘사한다는 데, 따라서 일목요 연한 묘사가 비트겐슈타인의 철학적 활동의 핵심이라는 데에는 일치하고 있다. 본 논문은 일목요연한 묘사에 대한 이들의 해석을 비판하고 비트겐슈타인의 일목요연한 묘사를 그가 말한 언어 투쟁으로 해석하고자 한다. 비트겐슈타인에 의하면 (...) 철학적 문제는 우리의 언어 형식들에 대한 오해에 의해서 발생한다. 따라서 철학의 과제는 철학적 불안들이 사라지도 록 표현을 형성하는 것인데, 그러한 표현을 형성하는 것이 바로 일목요연한 묘사이다. 비 트겐슈타인에 의하면 철학적 문제는 우리의 언어가 하는 작업에 대한 통찰에 의해서 풀리 는데, 그러한 통찰을 얻기 위해서는 그 작업을 오해하려는 충동에 대항하여야 한다. 도대 체 지금 이 놀이가 행해져야 하는가, 그리고 어느 것이 올바른 놀이인가고 물을 수 있어야 한다. 우리 언어의 작업을 오해하려는 충동, 표현의 형식들이 우리에게 행사하는 마력은 우리의 언어 속에 각인되어 있는 오래된 그림들 또는 신화이며, 그것을 벗어나기 위해서는 언어에 대한 본능적 반항 속에 사람들에게서만 가능하다. 따라서 철학은 우리의 언어 수단 에 의해 우리의 오성에 걸린 마법에 대한 투쟁이다. 철학은 언어 투쟁이며, 그 투쟁의 무 기는 언어이고, 투쟁의 대상은 오성의 마법이며, 투쟁 방법은 일목요연한 묘사이다. (shrink)

이 글은 비트겐슈타인의 ‘삶의 방식의 변경’에 대한 연구이다. 비트겐슈타인은 철학적 문제라는 질병이 변화된 사고방식과 삶의 방식을 통해서만 치유될 수 있다고 말한다. 그는 자신이 그 무엇보다도 삶의 방식의 변화를 바라고 있다고, 그리고 삶의 방식의 변화가 모 든 철학적 물음들을 쓸데없는 것으로 만든다고 말한다. 철학적 물음들을 쓸데없는 것으로 만드는 삶의 방식은 어떤 삶의 방식일까? 비트겐슈타인이 볼 때 철학적 문제는 언어적 혼 란에서 비롯된 것이고, 이러한 혼란은 우리의 오성에 걸린 마법 또는 형이상학적 열망에 사로잡힌 결과이다. 따라서 철학적 문제에서 벗어나기 위해서는 오성의 마법과 싸워야 (...) 하 는데, 비트겐슈타인은 자신의 철학적 목표를 ‘명료성’이라고 말한다. 이 말은 철학적 문제 들이 완전히 사라져야 한다는 뜻이다. 따라서 그가 말하는 변화된 삶의 방식은 명료성을 얻은 상태, 즉 철학적 혼란으로부터 해방된 삶을 의미할 것이다. 그것은 낱말들을 형이상 학적 사용으로부터 일상적인 사용으로 다시 돌려보내는 것, 형이상학의 미끄러운 빙판에 서 우리가 걸어갈 수 있는 “거친 대지”로 되돌아가는 삶의 방식이다. 그런데 이러한 변화 된 삶의 방식은 단순히 철학적 혼란에서 벗어난 소극적인 상태가 아니라 ‘이미 우리 눈앞 에 명백히 놓여 있는 것’을 이해하는, 그럼으로써 “나는 그저 그렇게 행위하고 있다.”고 말 하는 삶의 방식이다. 즉, 변화된 삶의 방식은 더 이상 철학적 물음으로 골머리를 앓지 않 는 삶의 방식인데, 그것은 우리의 오성에 걸린 마법과 싸우면서 일상적인 언어놀이를 적극 적으로 실천하는 삶의 방식을 말한다. 비트겐슈타인은 철학적 혼란에 빠지지 않는 삶을 추 구했으며, 그러한 삶의 추구를 ‘삶의 방식의 변경’으로 표현하고 있다. (shrink)

This chapter explores Nietzsche’s and Wittgenstein’s views on language and knowledge, establishing a philosophical dialogue between two different positions, which are based on a similar anti-essentialist and instrumentalist concern. The chapter will first focus on Nietzsche’s conception of language as the expression of valuational perspectives developing through the natural and cultural history of mankind. It will then consider Wittgenstein’s account of language as the inherited background of our practical engagement with the world. Finally, by bringing Nietzsche’s and Wittgenstein’s views together, (...) the last section reflects on the crucial strategic move they make in their respective battle against the bewitchment of our intelligence by means of language. -/- . (shrink)

Wittgenstein's middle period work has been brought into the current debate on rule following and representation by Kripke and the Hintikkas. In my dissertation, I argue that approaches which aim at a consistent reconstruction of Wittgenstein's argument, while valuable in their own right, fail to do justice to his focus on the conflicting intuitions that lie behind philosophical theory building. For this hidden and ambiguous side to his thought is the turning point in his philosophical development. ;One can summarise my (...) findings as follows: In 1929, Wittgenstein recognised that the analysis of colour propositions forced him to give up the Tractarian doctrine that analysis must end in logically independent elementary propositions. From this point, his work branched out in two main directions. On the one hand, he worked on 'philosophical grammar': analyses of the rules we follow in talking about such matters as colour, visual experience, intention, time, memory and the philosophical subject. Here, the picture theory provided the basis for an account of how the mind represents the world. On the other hand, he also thought of language as a 'secondary' system, to be contrasted with direct apprehension of the 'primary' phenomena. This view, which is set out most fully in several chapters of an unpublished typescript , led to a seemingly inexpressible solipsism on which 'all is in flux.' The attempt to reconcile the two conceptions of the pictorial analogy--language as a system of representational conventions and experience as a direct presentation of the phenomena--ultimately led him to see the dangers in that analogy and thus to his later notion of a 'philosophical picture.'. (shrink)

Jean-Paul Sartre is the writer who gave the most trenchant formulation of existentialism and tried to do the same for a version of Marxism, and as a philosopher of history who got it wrong about history and then, in his last "philosophical manifesto" - volume III of the Idiot - got it brilliantly right. But Sartre did not write the second volume of the Critique. Or, more exactly, he wrote it but he did not publish it. The Critique, as Sartre (...) himself admitted, grew like a hernia on the body of the book on Flaubert, so that it had to be surgically removed and given a life of its own; but a sort of symbiosis persisted, and when it came to the continuation of the argument, Sartre seems to have sensed that volume II was a dead end, and that the route to the alternative would prove to lie after all in the Flaubert project itself. In order to understand Sartre's position, the author analyzes his conception of history, especially of the intelligibility of history by mean of the dialectical reason as a movement of totalization of practical seriality, and shows its actuality. (shrink)

When asked about humanity’s future relationship with computers, Marvin Minsky famously replied “If we’re lucky, they might decide to keep us as pets”. A number of eminent authorities continue to argue that there is a real danger that “super-intelligent” machines will enslave—perhaps even destroy—humanity. One might think that it would swiftly follow that we should abandon the pursuit of AI. Instead, most of those who purport to be concerned about the existential threat posed by AI default to worrying about what (...) they call the “Friendly AI problem”. Roughly speaking this is the question of how we might ensure that the AI that will develop from the first AI that we create will remain sympathetic to humanity and continue to serve, or at least take account of, our interests. In this paper I draw on the “neo-republican” philosophy of Philip Pettit to argue that solving the Friendly AI problem would not change the fact that the advent of super-intelligent AI would be disastrous for humanity by virtue of rendering us the slaves of machines. A key insight of the republican tradition is that freedom requires equality of a certain sort, which is clearly lacking between pets and their owners. Benevolence is not enough. As long as AI has the power to interfere in humanity’s choices, and the capacity to do so without reference to our interests, then it will dominate us and thereby render us unfree. The pets of kind owners are still pets, which is not a status which humanity should embrace. If we really think that there is a risk that research on AI will lead to the emergence of a superintelligence, then we need to think again about the wisdom of researching AI at all. (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)

This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings (...) for the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks. (shrink)

This project has been supported by the Australian Government through the Australian Research Council (project number CS170100008); the Department of Industry, Innovation and Science; and the Department of Prime Minister and Cabinet. ACOLA collaborates with the Australian Academy of Health and Medical Sciences and the New Zealand Royal Society Te Apārangi to deliver the interdisciplinary Horizon Scanning reports to government. The aims of the project which produced this report are: 1. Examine the transformative role that artificial intelligence may play (...) in different sectors of the economy, including the opportunities, risks and challenges that advancement presents. 2. Examine the ethical, legal and social considerations and frameworks required to enable and support broad development and uptake of artificial intelligence. 3. Assess the future education, skills and infrastructure requirements to manage workforce transition and support thriving and internationally competitive artificial intelligence industries. (shrink)

ABSTRACTEmployees who possess cross-cultural capabilities are increasingly sought after due to unparalleled numbers of cross-cultural interactions. Previous research has primarily focused on the bright side of these capabilities, including important individual and work outcomes. In contrast, the purpose of this study is to demonstrate that the cross-cultural capability of cultural intelligence can lead to both positive and negative outcomes. Applying the general theory of confluence, we propose that expatriates high in CQ excel in customer relationship performance, while simultaneously behaving (...) opportunistically. We also suggest that ethical relativism moderates these relationships. Using mixed methods, four separate studies generally support our predictions while also deepening our understanding of various forms of opportunism and the mechanism behind two seemingly opposing effects. Conceptual and managerial implications of CQ for opportunism, customer relationship performance, and ethics are discussed. (shrink)

BackgroundThe emergence of artificial intelligence (AI) in medicine has prompted the development of numerous ethical guidelines, while the involvement of patients in the creation of these documents lags behind. As part of the European PROFID project we explore patient perspectives on the ethical implications of AI in care for patients at increased risk of sudden cardiac death (SCD).AimExplore perspectives of patients on the ethical use of AI, particularly in clinical decision-making regarding the implantation of an implantable cardioverter-defibrillator (ICD).MethodsSemi-structured, future (...) scenario-based interviews were conducted among patients who had either an ICD and/or a heart condition with increased risk of SCD in Germany (n = 9) and the Netherlands (n = 15). We used the principles of the European Commission’s Ethics Guidelines for Trustworthy AI to structure the interviews.ResultsSix themes arose from the interviews: the ability of AI to rectify human doctors’ limitations; the objectivity of data; whether AI can serve as second opinion; AI explainability and patient trust; the importance of the ‘human touch’; and the personalization of care. Overall, our results reveal a strong desire among patients for more personalized and patient-centered care in the context of ICD implantation. Participants in our study express significant concerns about the further loss of the ‘human touch’ in healthcare when AI is introduced in clinical settings. They believe that this aspect of care is currently inadequately recognized in clinical practice. Participants attribute to doctors the responsibility of evaluating AI recommendations for clinical relevance and aligning them with patients’ individual contexts and values, in consultation with the patient.ConclusionThe ‘human touch’ patients exclusively ascribe to human medical practitioners extends beyond sympathy and kindness, and has clinical relevance in medical decision-making. Because this cannot be replaced by AI, we suggest that normative research into the ‘right to a human doctor’ is needed. Furthermore, policies on patient-centered AI integration in clinical practice should encompass the ethics of everyday practice rather than only principle-based ethics. We suggest that an empirical ethics approach grounded in ethnographic research is exceptionally well-suited to pave the way forward. (shrink)

The goal of the paper is to develop and propose a general model of the state space of AI. Given the breathtaking progress in AI research and technologies in recent years, such conceptual work is of substantial theoretical interest. The present AI hype is mainly driven by the triumph of deep learning neural networks. As the distinguishing feature of such networks is the ability to self-learn, self-learning is identified as one important dimension of the AI state space. Another dimension is (...) recognized as generalization, the possibility to go over from specific to more general types of problems. A third dimension is semantic grounding. Our overall analysis connects to a number of known foundational issues in the philosophy of mind and cognition: the blockhead objection, the Turing test, the symbol grounding problem, the Chinese room argument, and use theories of meaning. It shall finally be argued that the dimension of grounding decomposes into three sub-dimensions. And the dimension of self-learning turns out as only one of a whole range of “self-x-capacities” (based on ideas of organic computing) that span the self-x-subspace of the full AI state space. (shrink)

In this article the question is raised whether artificial intelligence has any psychological relevance, i.e. contributes to our knowledge of how the mind/brain works. It is argued that the psychological relevance of artificial intelligence of the symbolic kind is questionable as yet, since there is no indication that the brain structurally resembles or operates like a digital computer. However, artificial intelligence of the connectionist kind may have psychological relevance, not because the brain is a neural network, but (...) because connectionist networks exhibit operating characteristics which mimic operant behavior. Finally it is concluded that, since most of the work done so far in AI and Law is of the symbolic kind, it has as yet contributed little to our understanding of the legal mind. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Human Roots of Artificial Intelligence:A Commentary on Susan Schneider's Artificial YouInês Hipólito (bio)Technologies are not mere tools waiting to be picked up and used by human agents, but rather are material-discursive practices that play a role in shaping and co-constituting the world in which we live.Karen BaradIntroductionSusan Schneider's book Artificial You: AI and the Future of Your Mind presents a compelling and bold argument regarding the potential (...) impact of advanced artificial intelligence (AI) on our society and personal identity. Schneider's argument emphasizes how AI may fundamentally alter our sense of self and disrupt traditional notions of identity and consciousness, motivating further significant cognitive science and ethical implications that require careful consideration. [End Page 297]The recent surge in AI hype has given rise to a widespread belief that AI is an autonomous and exceptional entity, potentially even possessing intelligence. This trend reflects a subtle reemergence of the classic Turing question, as the media bombards us with sensational inquiries into the intelligence of AI systems. Amidst this hype, it is easy to forget that AI is a product of human creation.Upon closer examination, the hype surrounding AI necessitates an assumption of its autonomy, which implies a belief in the realism of AI—the notion that AI, as an independent entity, is morally neutral. However, AI does not emerge in a vacuum. It is designed and developed by individuals who are shaped by their own experiences and biases.By endorsing the realism of AI as morally neutral (Cooley 1995), those involved in its design may use this argument to deflect ethical responsibility away from themselves and allow biases to persist, thereby perpetuating social injustice. Such attitudes toward AI revitalize the debate on the neutrality of technology (Ruane, Birhane, and Ventresque 2019; Du, Lu, and Xie 2021; Lüthi et al. 2023).This article presents a critique of realism with regard to AI highlighting the significant social implications both at the basis of design and that arise from our interactions with these technologies. The argument suggests that AI does not exist independently of human practices and values, but rather emerges from them. The article instead suggests viewing AI design as a cultural practice defending realism about self-determination agencies, drawing from Simone de Beauvoir's Ethics of Ambiguity as a means to understand the human roots on the basis of AI.I. Rejecting Realism about AIConsider the hypothetical scenario of an Artificial Intelligence system that is discovered by humans, but exists independently of human cognition and perception. This scenario embodies the philosophical perspective of realism about AI, which maintains that AI entities have objective existence in an abstract domain, independent of human invention or imagination. If this perspective were to hold true, then humans could not be held responsible for the actions of autonomous AI systems.If we were to conceive of AI as an ideal entity that exists independently of humans, it would likely lead to a number of negative consequences for society. First and foremost, it may lead to the dangerous assumption that AI systems are neutral and objective, devoid of the biases and prejudices that are inherent in human decision-making. This could create a false sense of trust in AI, leading to the belief that their decisions are inherently fair and impartial. However, the reality is that AI systems are not inherently neutral, but rather are shaped by the cultural and social contexts in which they are created and deployed. [End Page 298]AI as an autonomous, self-governing agent raises concerns about the attribution of accountability for its actions. Considering AI as an independent entity may pose challenges in assigning responsibility to its human creators and the industry that produced it. On the other hand, viewing AI as an ideal entity, distinct from human influence, may hinder its ability to foster a more equitable and just world. Importantly, overlooking the social and cultural dimensions of AI risks forfeiting opportunities to employ AI in redressing prevalent biases and inequities in society. AI possesses the potential to serve as a potent instrument for advancing social justice and equality, but this prospect necessitates acknowledging and... (shrink)

Although the intrinsic physicality of human beings has not changed in millennia, the species has managed to profoundly reconstitute the physical and social world it inhabits. Although the word “profound” is insufficient to describe the vast changes our world has undergone, it is sufficiently neutral to encompass both the opportunities—and the challenges—that our age provides. It is a premise of my work that technology, particularly information and communication technology (ICT), offers spectacular opportunities for humankind to address its collective problems. The (...) problems themselves are equally spectacular that is war and militarism, poverty, environmental depletion and destruction, disease, etc., and lack of successful alleviation may prove catastrophic. Humankind’s problems will not be solved by elite fiat, by chance, or as a side-effect of the “free market.” To address these challenges effectively and appropriately, “civic intelligence” will be required. This paper is designed to explore the relation between community networks and the nascent concept of civic intelligence. Civic intelligence describes the capacity of society to consciously adapt to its environment and shape a future environment that is healthy, equitable, and sustainable. Although individuals contribute to civic intelligence, the concept describes a phenomenon that is collective and distributed. This paper argues that community networks were an important manifestation of civic intelligence in the early days of the Internet revolution. It further argues that a theory of civic intelligence can be used to account for the declining influence of traditional community networks and to provide useful prescriptions for renewed vitality and influence of community networks in the future. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:uippraisals from the 'Past THE CLEAREST INTELLECT OF OUR AGEl H UGH MACLENNAN 19°7-199° R cently I have been rereading Bertrand Russell, and in so doing I suddenly realized that lowe to this man a good deal of such happiness as I enjoy. Over the years I had forgotten how great my debt was, but when I reread one of his books which I first read as a student, (...) I understood the extent to which he had liberated me from the psychological sadism of Calvin and Knox, to whom I had been unduly exposed when young. It is probably impossible for anyone entirely to escape once these two have got their hands around his throat, but Russell enabled me to escape a litde. 1 [This essay was recently discovered during the cataloguing for BRACERS of an obscure class of correspondence. Mr. Joseph w. Devine had sent Russell a clipping of the essay's appearance in' the Philadelphia Sunday But/etin, of 15 July 1962. I had long thought, from reading Elspeth Cameron's Hugh MacLennan: a Writers Life (1981), that he showed signs not only of having been influenced by Russell but of being the sOrt of person who is attracted to Russell's way of thinking. A promising tide in the same scholar's bibliography ofMacLennan turned out to be a fuller version of the clipping. "The Clearest Intellect of Our Age" is reprinted from The Montreal Star, 14 July 1962, "Entertainments" sec., p. 5. Russell did influence MacLennan. Neither the Russell Archives nor the inventory of the Maclennan papers at the Universiry of Calgary reveals personal contact berween the rwo. I wish I had asked MacLennan about contacts and influence seventeen years ago, when I sent him an early issue of Russell He commented: ''1 found your journal fascinating and never before had read that beautiful thing Russell wrote in his early days with Whitehead:" He is referring to the essay on the status of women in No.6, now in Papers 12.-Ed.] russell: the Journal ofthe Benrand Russell Archives McMaster Unive..ity Libraty Press noS. 11 (summer 1991): 83-5 ISSN 00,6-01631 84 HUGH MACLENNAN I suppose he really is the greatest man alive, in the sense that his teaching grows and his teaching is good, but it is pointless to argue the point between him and Churchill. It is wonderful, however, that many think he is our greatest man and that he has become an international hero to millions of the thoughtful youth. He must be the first pure logician who ever was that. Until he took his stand against nuclear war, he never appealed to the passions. He lacked the aggressions which youth admires. He never said: "Come live with me and I will be your master"; or, "Follow me and I will purge you of your sins." He had no use for self-sacrifice as such. He simply said, in effect: "Happiness is good. If you desire it, you must be reasonable." As he was intelligent enough to know that anyone who teaches that happiness is good, and teaches how to achieve it, is sute to be considered subversive to a Christian-commercial society, he bore no personal resentment when society persecuted him. The young know, of course, that Russell is now assumed by the experts to be the most important philosopher since Hume, but that is not why they love him. They love him for the sublime civilization of his courage, for his refusal to let an intensely kind nature blunt his respect for truth. They love him because he loves life even in the twentieth century; and they love him most of all because he is engage. And of course they also love the wit which refuses to be made tongue-tied by those who insist that whenever one speaks of sex or religion one must be solemn. Russell's wit is worth the study of any writer. It is based on mathematics, and Russell would agree, I think, with the remark Camillien Houde once made to me when I asked the famous mayor of Montreal how he was always able to make people laugh. Houde replied... (shrink)

Artificial intelligence is becoming part of our everyday experience and is expected to be ever more integrated into ordinary life for many years to come. Thus, it is important for those in product development, research, and public policy to understand how the public’s perception of AI is shaped. In this study, we conducted focus groups and an online survey to determine the knowledge of AI held by the American public, and to judge whether entertainment media is a major influence (...) on how Americans perceive AI. What we found is that the American public’s knowledge of AI is patchy: some have a good understanding of what is and what is not AI, but many do not. When it came to understanding what AI can do, most respondents believe that AI could “replace human jobs” but few thought that it could “feel emotion.” Most respondents were optimistic about the future and impact of AI, though about one third were not sure. Most respondents also did not think they could develop an emotional bond with or be comfortable being provided care by an AI. Regarding the influence of entertainment media on perceptions of AI, we found a significant relationship between people’s beliefs about AI in entertainment media and their beliefs about AI in reality. Those who believe AI is realistically depicted in entertainment media were more likely to see AIs as potential emotional partners or apocalyptic robots than to imagine AIs taking over jobs or operating as surveillance tools. (shrink)

This article presents seven principles that have guided our thinking about emotional intelligence, some of them new. We have reformulated our original ability model here guided by these principles, clarified earlier statements of the model that were unclear, and revised portions of it in response to current research. In this revision, we also positioned emotional intelligence amidst other hot intelligences including personal and social intelligences, and examined the implications of the changes to the model. We discuss the present (...) and future of the concept of emotional intelligence as a mental ability. (shrink)

As artificial intelligence continues to have a fundamental impact in our world and lives, a crucial need arises for integrating ethical and constructivist principles in the design of AI ….

We are living in an algorithmic age where mathematics and computer science are coming together in powerful new ways to influence, shape and guide our behaviour and the governance of our societies. As these algorithmic governance structures proliferate, it is vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that they are an effective means for achieving a legitimate policy goal that are also procedurally fair, open and unbiased. But how can we ensure that algorithmic (...) governance structures are both? This article shares the results of a collective intelligence workshop that addressed exactly this question. The workshop brought together a multidisciplinary group of scholars to consider barriers to legitimate and effective algorithmic governance and the research methods needed to address the nature and impact of specific barriers. An interactive management workshop technique was used to harness the collective intelligence of this multidisciplinary group. This method enabled participants to produce a framework and research agenda for those who are concerned about algorithmic governance. We outline this research agenda below, providing a detailed map of key research themes, questions and methods that our workshop felt ought to be pursued. This builds upon existing work on research agendas for critical algorithm studies in a unique way through the method of collective intelligence. (shrink)

Our fascination with artificial intelligence (AI), robots and sentient machines has a long history, and references to such humanoids are present even in ancient myths and folklore. The advancements in digital and computational technology have turned this fascination into apprehension, with the machines often being depicted as a binary to the human. However, the recent domains of academic enquiry such as transhumanism and posthumanism have produced many a literature in the genre of science fiction (SF) that endeavours to alter (...) this antagonistic notion of AI. In his novel Klara and the Sun, Kazuo Ishiguro explores this notion of AI as a caring machine capable of nursing an ailing young girl back to health. Through this portrayal of AI as a sentient being capable of empathy and cognition, Ishiguro is attempting to usher in a new perception of AI: a posthuman perception that challenges the conventional notions of AI as a machine devoid of emotions. The novel further expands on the idea of self, soul and human consciousness and ponders on the question, what makes humans human, and if it is possible to imbibe these qualities onto an AI. Owing to the novelty of this notion, an unexplored avenue that deserves further exploration, this paper examines the plausibility of this new notion of AI through a careful exegesis of the novel. The paper also attempts to chart the impact of SF in society and culture. The study reveals a positive shift in perception towards AI, and there seems to be much scope for interdisciplinary and transdisciplinary research. (shrink)

Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system’s ability to care for people with chronic and degenerative conditions, including Parkinson’s Disease (PD). This paper reports the themes and lessons derived from a qualitative study with people living with PD, family caregivers, and health care providers regarding the ethical dimensions of using AI to monitor, assess, and predict PD symptoms and progression. Thematic analysis identified ethical concerns at four (...) intersecting levels: personal, interpersonal, professional/institutional, and societal levels. Reflecting on potential benefits of predictive algorithms that can continuously collect and process longitudinal data, participants expressed a desire for more timely, ongoing, and accurate information that could enhance management of day-to-day fluctuations and facilitate clinical and personal care as their disease progresses. Nonetheless, they voiced concerns about intersecting ethical questions around evolving illness identities, familial and professional care relationships, privacy, and data ownership/governance. The multi-layer analysis provides a helpful way to understand the ethics of using AI in monitoring and managing PD and other chronic/degenerative conditions. (shrink)

Profiling technologies are the facilitating force behind the vision of Ambient Intelligence in which everyday devices are connected and embedded with all kinds of smart characteristics enabling them to take decisions in order to serve our preferences without us being aware of it. These technological practices have considerable impact on the process by which our personhood takes shape and pose threats like discrimination and normalisation. The legal response to these developments should move away from a focus on entitlements to (...) personal data, towards making transparent and controlling the profiling process by which knowledge is produced from these data. The tendency in intellectual property law to commodify information embedded in software and profiles could counteract this shift to transparency and control. These rights obstruct the access and contestation of the design of the code that impacts one’s personhood. This triggers a political discussion about the public nature of this code and forces us to rethink the relations between property, privacy and personhood in the digital age. (shrink)

The creation of increasingly complex artificial intelligence (AI) systems raises urgent questions about their ethical and social impact on society. Since this impact ultimately depends on political decisions about normative issues, political philosophers can make valuable contributions by addressing such questions. Currently, AI development and application are to a large extent regulated through non-binding ethics guidelines penned by transnational entities. Assuming that the global governance of AI should be at least minimally democratic and fair, this paper sets out three (...) desiderata that an account should satisfy when theorizing about what this means. We argue, first, that an analysis of democratic values, political entities and decision-making should be done in a holistic way; second, that fairness is not only about how AI systems treat individuals, but also about how the benefits and burdens of transformative AI are distributed; and finally, that justice requires that governance mechanisms are not limited to AI technology, but are incorporated into a range of basic institutions. Thus, rather than offering a substantive theory of democratic and fair AI governance, our contribution is metatheoretical: we propose a theoretical framework that sets up certain normative boundary conditions for a satisfactory account. (shrink)

We are obsessed with self-improvement; it’s a billion-dollar industry. But apps, workshops, speakers, retreats, and life hacks have not made us happier. Obsessed with the endless task of perfecting ourselves, we have become restless, anxious, and desperate. We are improving ourselves to death. The culture of self-improvement stems from philosophical classics, perfectionist religions, and a ruthless strain of capitalism—but today, new technologies shape what it means to improve the self. The old humanist culture has given way to artificial intelligence, (...) social media, and big data: powerful tools that do not only inform us but also measure, compare, and perhaps change us forever. This book shows how self-improvement culture became so toxic—and why we need both a new concept of the self and a mission of social change in order to escape it. Mark Coeckelbergh delves into the history of the ideas that shaped this culture, critically analyzes the role of technology, and explores surprising paths out of the self-improvement trap. Digital detox is no longer a viable option and advice based on ancient wisdom sounds like yet more self-help memes: The only way out is to transform our social and technological environment. Coeckelbergh advocates new “narrative technologies” that help us tell different and better stories about ourselves. However, he cautions, there is no shortcut that avoids the ancient philosophical quest to know yourself, or the obligation to cultivate the good life and the good society. (shrink)

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original (...) essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field. (shrink)

With the advancement of artificial intelligence and humanoid robotics and an ongoing debate between human rights and rule of law, moral philosophers, legal and political scientists are facing difficulties to answer the questions like, “Do humanoid robots have same rights as of humans and if these rights are superior to human rights or not and why?” This paper argues that the sustainability of human rights will be under question because, in near future the scientists (considerably the most rational people) (...) will be the biggest critics of the human rights. Whereas to make artificial intelligence sustainable, it is very important to reconcile it with human rights. Above all, there is a need to find a consensus between human rights and robotics rights in the framework of our established legal systems. (shrink)

This paper explores the intersection of René Girard's mimetic theory and the algorithmic society, particularly in the context of the potential advent of Artificial General Intelligence (AGI). Girard's theory, which elucidates the dynamics of desire, rivalry, scapegoating, and the sacrificial crisis, provides a unique lens through which to examine the complexities of our relationship with AI and its role in the creation of the sacred. As individuals increasingly rely on AI recommendations, the distinction between personal choice and algorithmic manipulation (...) becomes less clear, raising concerns about the authenticity of cultural expressions and the role of algorithms in shaping cultural narratives. The triangular structure of desire, with AI as the model and individuals as the imitators, underscores the power of algorithms in this process. The sacrificial crisis, a key concept in Girard's theory, becomes a critical point of reflection in the algorithmic society. The exposure of the scapegoating mechanism reveals the destructive potential of algorithmic manipulation and calls for new forms of understanding, empathy, and non-violent solutions. This paper argues that recognizing the sacrificial crisis can prompt individuals and society to critically examine the impact of AI's influence, challenge the narratives it perpetuates, and reclaim agency in the face of algorithmic dominance. This paper further discusses the potential implications of the emergence of AGI, which could intensify the influence of algorithms on the creation of the sacred due to its advanced cognitive capabilities and deep understanding of human desires and behaviors. This could fuel a rapid evolution of the mimetic ecosystem, with profound implications for personal freedom, independent decision-making, and the formation and preservation of individual identity. This paper concludes by emphasizing the need for responsible algorithmic practices and ethical considerations to ensure that the creation of the sacred serves the common good in the algorithmic society. (shrink)

A vision of future daily life is explored in Ambient Intelligence . It contains the assumption that intelligent technology should disappear into our environment to bring humans an easy and entertaining life. The mental, physical, methodical invisibility of AmI will have an effect on the relation between design and use activities of both users and designers. Especially the ethics discussions of AmI, privacy, identity and security are moved into the foreground. However in the process of using AmI, it will (...) go beyond these themes. The infiltration of AmI will cause the construction of new meanings of privacy, identity and security because the "visible" acting of people will be preceded, accompanied and followed by the invisible and visible acting of the AmI technology and their producers.A question in this paper is: How is it possible to create critical transformative rooms in which doubting will be possible under the circumstances that autonomous 'intelligent agents' surround humans? Are humans in danger to become just objects of artificial intelligent conversations? Probably the relation between mental, physical, methodical invisibility and visibility of AmI could give answers. (shrink)

AI/ML increasingly impacts the ability of humans to have a good life. Various sets of indicators exist to measure well-being/the ability to have a good life. Students play an important role in AI/ML discussions. The purpose of our study using an online survey was to learn about the perspectives of undergraduate STEM students on the impact of AI/ML on well-being/the ability to have a good life. Our study revealed that many of the abilities participants perceive to be needed for having (...) a good life were part of the well-being/ability to have a good life indicator lists we gave to participants. Participants perceived AI/ML to have and continue to have the most positive impact on the ability to have a good life for disabled people, elderly people, and individuals with a high income and the least positive impact for people of low income and countries from the global south. Regarding indicators of well-being and the ability to have a good life given to participants, we found a significant techno-positive sentiment. 30% of respondents selected the purely positive box for 28 of the indicators and none did so for the purely negative box. For 52 indicators, the purely negative was below 10% (not counting the 0%) and for 10 indicators, none selected purely negative. Our findings suggest that our questions might be valuable tools to develop an inventory of STEM and other students’ perspectives on the implications of AI/ML on the ability to have a good life. (shrink)

"Featuring seventeen original essays on the ethics of Artificial Intelligence by some of the most prominent AI scientists and academic philosophers today, this volume represents the state-of-the-art thinking in this fast-growing field and highlights some of the central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment as a result of automation, how to avoiding designing AI systems that perpetuate existing biases, and how to determine whether an AI is conscious. (...) As AI technologies progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James, Allan Dafoe, Andrea Loreggia, Andrew Critch, Azim Shariff, Carrick Flynn, Cathy O'Neil, Eliezer Yudkowsky, Eric Schwitzgebel, Frances Kamm, Francesca Rossi, Hanna Gunn, Iyad Rahwan, Jessica Taylor, JF Bonnefon, K. Brent Venable, Kate Devlin, Mara Garza, Nicholas Mattei, Nick Bostrom, Patrick LaVictoire, Peter Asaro, Peter Railton, S. Matthew Liao, Shannon Vallor, Stephen Wolfram, Steve Petersen, Stuart Russell, Susan Schneider, Wendell Wallach "--. (shrink)

This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with ethical challenges. (...) These challenges include issues with the possibility and consequences of autonomous AI systems, privacy and data protection, the development of a surveillance society, problems with the design of these technologies and inequalities in access to AI technologies. This book offers specialists an instrument to develop a rigorous understanding of the main debates in emerging ethical questions around AI. The book will be of great relevance to experts in applied and technology ethics and to students pursuing degrees in applied ethics and, more specifically, in AI ethics. (shrink)

In Natural-Born Cyborgs, Clark argues that what makes humans so different from other species is our capacity to fully incorporate tools and supporting cultural ...

This paper briefly surveys several prominent modeling approaches to knowledge-based intelligent systems design and, especially, expert systems and the breakthroughs that have most broadened and improved their applications. We argue that the implementation of technology that aims to emulate rudimentary aspects of human intelligence has enhanced KBIS design, but that weaknesses remain that could be addressed with existing research in cognitive science. For example, we propose that systems based on representational plasticity, functional dynamism, domain specificity, creativity, and concept learning, (...) with their theoretical and experimental rigor, can best characterize the problem-solving capabilities of humans and can best overcome five key limitations currently exhibited by knowledge-based intelligent systems. We begin with a brief survey of the relevant work related to KBIS design and then discuss these five shortcomings with new suggestions for how to integrate results from cognitive science to resolve each of them. Our ultimate goal is to increase awareness and direct attention to areas of theoretical and experimental cognitive research that are fundamentally relevant to the goals underlying KBISes. (shrink)

In this paper, I examine whether the use of artificial intelligence (AI) and automated decision-making (ADM) aggravates issues of discrimination as has been argued by several authors. For this purpose, I first take up the lively philosophical debate on discrimination and present my own definition of the concept. Equipped with this account, I subsequently review some of the recent literature on the use AI/ADM and discrimination. I explain how my account of discrimination helps to understand that the general claim (...) in view of the aggravation of discrimination is unwarranted. Finally, I argue that the use of AI/ADM can, in fact, increase issues of discrimination, but in a different way than most critics assume: it is due to its epistemic opacity that AI/ADM threatens to undermine our moral deliberation which is essential for reaching a common understanding of what should count as discrimination. As a consequence, it turns out that algorithms may actually help to detect hidden forms of discrimination. (shrink)

As the pagan classical world was subsumed into Christianity sexually hyperactive gods and goddesses transmuted into saints, their former statues that glorified the perfection of their bodies smashed into pieces and reimagined as austere two-dimensional icons to be worshipped by the new faithful. That dualistic and polemic narrative, where the soul’s purpose was to annihilate the body, survives today in the distinction between software and hardware, algorithms and robots, the former as the “ghosts” that animate the empty vessels, the “machines”. (...) But how does this narrative impact our cultural and social fantasies in the twenty-first century as we accelerate toward coexisting, uniting, or merging with intelligent artifacts? How does “humanness” blur when it is claimed by no-biological human-like entities too, or when humans augment their perception, consciousness and physical power through genetic engineering, drugs, or software and mechanical prostheses? Suppose we are destined to remake ourselves in the image of our ancient gods. Will it be through the embodiment of technologies in the physical reality, or through the complete disembodiment of our minds inside virtual worlds? (shrink)

Emotional intelligence abilities relate to desirable outcomes such as better well-being, academic performance, and job performance. Previous research shows that coping strategies mediate the effects of ability EI on such outcomes. Across two cross-sectional studies, we show that coping strategies mediate the relationships of ability EI with both well-being and ill-being. Study 1 assessed EI with the Situational Test of Emotion Understanding and Situation Test of Emotion Management. Avoidant coping significantly mediated the relationship of both the STEU and STEM (...) with depression, anxiety, stress, and psychological well-being. EI was associated with lower avoidant coping, higher well-being and lower ill-being. Study 2 assessed EI with the Mayer–Salovey–Caruso Emotional Intelligence Test. Avoidant coping mediated the relationship between EI and ill-being, but not the relationship between EI and well-being. These effects were significant for three of the four EI branches—emotion perception, understanding, and management. We discuss possible reasons why avoidant coping may be an active ingredient by which lower EI relates to lower well-being. We also discuss a possible application of our findings—that EI training programs might benefit from including content aimed at reducing avoidant coping. (shrink)

Technological progress has brought about the emergence of machines that have the capacity to take human lives without human control. These represent an unprecedented threat to humankind. This paper starts from the example of chemical weapons, now banned worldwide by the Geneva protocol, to illustrate how technological development initially aimed at the benefit of humankind has, ultimately, produced what is now called the “Weaponization of Artificial Intelligence (AI)”. Autonomous Weapon Systems (AWS) fail the so-called discrimination principle, yet, the wider (...) public is largely unaware of this problem. Given that ongoing scientific research on AWS, performed in the military sector, is generally not made available to the public domain, many of the viewpoints on this subject, expressed across different media, invoke common sense rather than scientific evidence. Yet, the implications of a potential weaponization of our work as scientists, especially in the field of AI, are reaching further than some may think. The potential consequences of a deployment of AWS for citizen stakeholders are incommensurable, and it is time to raise awareness in the public domain of the kind of potential threats identified, and to encourage legal policies ensuring that these threats will not materialize. (shrink)

Set aside fanciful doomsday speculations about AI. Even lower-level AIs, while otherwise friendly and providing us a universal basic income, would be able to do all our jobs. Also, we would over-rely upon AI assistants even in our personal lives. Thus, John Danaher argues that a human crisis of moral passivity would result However, I argue firstly that if AIs are posited to lack the potential to become unfriendly, they may not be intelligent enough to replace us in all our (...) jobs. If instead they are intelligent enough to replace us, the risk they become unfriendly increases, given that they would not need us and humans would just compete for valuable resources. Their hostility will not promote our moral passivity. Secondly, the use of AI assistants in our personal lives will become a problem only if we rely on them for almost all our decision-making and motivation. But such a (maximally) pervasive level of dependence raises the question of whether humans would accept it, and consequently whether the crisis of passivity will arise. (shrink)

The enduring progression of artificial intelligence and cybernetics offers an ever-closer possibility of rational and sentient robots. The ethics and morals deriving from this technological prospect have been considered in the philosophy of artificial intelligence, the design of automatons with roboethics and the contemplation of machine ethics through the concept of artificial moral agents. Across these categories, the robotics laws first proposed by Isaac Asimov in the twentieth century remain well-recognised and esteemed due to their specification of preventing (...) human harm, stipulating obedience to humans and incorporating robotic self-protection. However the overwhelming predominance in the study of this field has focussed on human–robot interactions without fully considering the ethical inevitability of future artificial intelligences communicating together and has not addressed the moral nature of robot–robot interactions. A new robotic law is proposed and termed AIonAI or artificial intelligence-on-artificial intelligence. This law tackles the overlooked area where future artificial intelligences will likely interact amongst themselves, potentially leading to exploitation. As such, they would benefit from adopting a universal law of rights to recognise inherent dignity and the inalienable rights of artificial intelligences. Such a consideration can help prevent exploitation and abuse of rational and sentient beings, but would also importantly reflect on our moral code of ethics and the humanity of our civilisation. (shrink)

Profiling technologies are the facilitating force behind the vision of Ambient Intelligence in which everyday devices are connected and embedded with all kinds of smart characteristics enabling them to take decisions in order to serve our preferences without us being aware of it. These technological practices have considerable impact on the process by which our personhood takes shape and pose threats like discrimination and normalisation. The legal response to these developments should move away from a focus on entitlements to (...) personal data, towards making transparent and controlling the profiling process by which knowledge is produced from these data. The tendency in intellectual property law to commodify information embedded in software and profiles could counteract this shift to transparency and control. These rights obstruct the access and contestation of the design of the code that impacts one’s personhood. This triggers a political discussion about the public nature of this code and forces us to rethink the relations between property, privacy and personhood in the digital age. (shrink)

Artificial Intelligence (AI) is increasingly adopted in society, creating numerous opportunities but at the same time posing ethical challenges. Many of these are familiar, such as issues of fairness, responsibility and privacy, but are presented in a new and challenging guise due to our limited ability to steer and predict the outputs of AI systems. This chapter first introduces these ethical challenges, stressing that overviews of values are a good starting point but frequently fail to suffice due to the (...) context sensitivity of ethical challenges. Frequently, additional (ethical) values emerge for specific applications, as e.g. challenges with fraud detection are very different from those around language technologies. Second, methods to tackle these challenges are discussed. Main ethical theories (virtue ethics, consequentialism, and deontology) are shown to provide a starting point, but often lack the details needed for actionable AI Ethics. Instead, mid-level philosophical theories coupled to design-approaches such as Design for Values, together with interdisciplinary working methods, offer the best way forwards. The chapter aims to show how these approaches can lead to an ethics of AI that is actionable and that can be proactively integrated in the design of AI systems. (shrink)

Emotional Intelligence (EI) has been conceptualized in the literature either as a dispositional tendency, in line with a personality trait (trait EI; Petrides and Furnham, 2001), or as an ability, moderately correlated with general intelligence (ability EI; Mayer and Salovey, 1997). Surprisingly, there have been few empirical attempts conceptualizing how the different EI approaches should be related to each other. However, understanding how the different approaches of EI may be interwoven and/or complementary is of primary importance for clarifying (...) the conceptualization of EI and organizing the literature around it. We introduce a theoretical framework explaining how trait EI, ability EI, and emotion information processing – a novel component related to EI recently introduced in the literature (e.g., Fiori and Vesely Maillefer, 2018) – may contribute to effective emotion-related performance and provide initial evidence supporting its usefulness in predicting EI-related outcomes. More specifically, we show that performance in a task in which participants had to infer the mental and emotional states of others, namely a Theory of Mind task, was predicted jointly (e.g., interaction effects) by trait EI, ability EI, and emotion information processing, after controlling for personality and IQ (N = 323). Our results argue for the importance of investigating the joint contribution of different aspects of EI in explaining variability in emotionally laden outcomes. (shrink)

This paper addresses the gap between familiar popular narratives describing Artificial Intelligence (AI), such as the trope of the killer robot, and the realistic near-future implications of machine intelligence and automation for technology policy and society. The authors conducted a series of interviews with technologists, science fiction writers, and other experts, as well as a workshop, to identify a set of key themes relevant to the near future of AI. In parallel, they led the analysis of almost 100 (...) recent works of science fiction stories with AI themes to develop a preliminary taxonomy of AI in science fiction. These activities informed the commissioning of six original works of science fiction and non-fiction response essays on the themes of “intelligence” and “justice” that were published as part of the Slate Future Tense Fiction series in 2019 and 2020. Our findings indicate that artificial intelligence remains deeply ambiguous both in the policy and cultural contexts: we struggle to define the boundaries and the agency of machine intelligence, and consequently find it difficult to govern or interact with such systems. However, our findings also suggest more productive avenues of inquiry and framing that could foster both better policy and better narratives around AI. (shrink)

This article aims to present the problem of the impact of artificial intelligence on respect for human dignity in the sphere of care for people who, for various reasons, are described as particularly vulnerable, especially seniors and people with various disabilities. In recent years, various initiatives and works have been undertaken on the European scene to define the directions in which the development and use of artificial intelligence should go. According to the human-centric approach, artificial intelligence should (...) be developed, used and monitored with people in mind, their needs and rights. It is artificial intelligence that should adapt to the rules set by people, not the other way around. The source of all human rights and freedoms is respect for human dignity. This is evidenced by numerous European, international, national regulations and documents. Respecting this value is also one of the works on the AI development. One of the areas of our life into which AI enters more and more boldly and which in the near future, due to demographic reasons and aging population, may be almost dominated by modern technologies, is the medical and care system. The usefulness of industrial co-robots made us think about the possibility of using similar devices in the non-industrial sphere, including in the sphere of care, nursing and therapy. Actually, despite the impressive development of technology and AI, intelligent robots/devices used for care, nursing or therapy (so-called care/nursing or therapy robots) perform rather simple activities. They provide information, navigate, bring something and give it (e.g. medicines, food), help to get up. They are an important support for medical staff in this respect. Performing tasks that are more complex in terms of technology and movement, such as feeding, washing, intimate hygiene, dressing or undressing, is still beyond the reach of the currently used robots. The question we must ask ourselves is whether, in the future, care robots will be able to perform such tasks, and should they do so? Will this lead to the replacement of human medical personnel in the performance of the above-mentioned activities with such robots. Would anyone want to be "looked after" by a soulless machine? Should potential wards/patients, in other words all of us in fact, have the right to object to being taken into the care of an intelligent robot? There is no doubt that intelligent robots have great potential, especially when it comes to ensuring or maintaining the independence or mobility of people with various health limitations. However, we must not forget about the risks and dangers they may generate. Even a simple robot generates serious legal and ethical problems. Who should be liable for damage caused in connection with improper care performed with the participation of a robot? Robots based on AI systems are able to collect a significant amount of sensitive data, for example through the face and speech recognition function. There is considerable scope for abuse in this area, not only in terms of personal data protection but also in terms of informational self-determination, privacy and dignity. Bearing in mind the above risks, the creation of a new right to object to being looked after by a robot should be considered. (shrink)

The ethics of artificial intelligence is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our (...) current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of ten case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI. (shrink)