Results for 'Siqi Ai'

999 found
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  1. Zhe Xue Xuan Ji.Siqi Ai - 1950
     
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  2. Ai Silin Lun Wen Xuan.Silin Ai - 2011 - Zhonghua Shu Ju.
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  3. Logics in Ai European Workshop Jelia '92, Berlin, Germany, September 7-10, 1992 : Proceedings'.David A. Pearce, Gerd Wagner & European Workshop on Logics in Ai - 1992
     
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  4.  22
    Ai Siqi’s Reading Of The Marxian Notion Of “Existence Versus Consciousness”.Chenshan Tian - 2002 - Journal of Chinese Philosophy 29 (3):437–456.
  5.  8
    Ai Siqi's Major Contribution to the Localization of Marxism in China.Zhuang Fuling - 2008 - Modern Philosophy 6:002.
  6. Mian Huai Yu Tan Suo: Ji Nian Ai Siqi Wen Xuan, 1981-2008.Jinshan Li & Danyi Wang (eds.) - 2010 - Zhong Gong Zhong Yang Dang Xiao Chu Ban She.
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  7. Ai Siqi Tu Ce.Danyi Wang (ed.) - 2010 - Yunnan Ren Min Chu Ban She.
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  8. Transparent, Explainable, and Accountable AI for Robotics.Sandra Wachter, Brent Mittelstadt & Luciano Floridi - 2017 - Science (Robotics) 2 (6):eaan6080.
    To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.
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  9.  69
    AI Human Impact: Toward a Model for Ethical Investing in AI-Intensive Companies.James Brusseau - manuscript
    Does AI conform to humans, or will we conform to AI? An ethical evaluation of AI-intensive companies will allow investors to knowledgeably participate in the decision. The evaluation is built from nine performance indicators that can be analyzed and scored to reflect a technology’s human-centering. When summed, the scores convert into objective investment guidance. The strategy of incorporating ethics into financial decisions will be recognizable to participants in environmental, social, and governance investing, however, this paper argues that conventional ESG frameworks (...)
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  10.  21
    Classical AI Linguistic Understanding and the Insoluble Cartesian Problem.Rodrigo González - 2019 - AI and Society (2).
    This paper examines an insoluble Cartesian problem for classical AI, namely, how linguistic understanding involves knowledge and awareness of u’s meaning, a cognitive process that is irreducible to algorithms. As analyzed, Descartes’ view about reason and intelligence has paradoxically encouraged certain classical AI researchers to suppose that linguistic understanding suffices for machine intelligence. Several advocates of the Turing Test, for example, assume that linguistic understanding only comprises computational processes which can be recursively decomposed into algorithmic mechanisms. Against this background, in (...)
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  11.  45
    Pathologies of AI: Responsible Use of Artificial Intelligence in Professional Work. [REVIEW]Ronald Stamper - 1988 - AI and Society 2 (1):3-16.
    Although the AI paradigm is useful for building knowledge-based systems for the applied natural sciences, there are dangers when it is extended into the domains of business, law and other social systems. It is misleading to treat knowledge as a commodity that can be separated from the context in which it is regularly used. Especially when it relates to social behaviour, knowledge should be treated as socially constructed, interpreted and maintained through its practical use in context. The meanings of terms (...)
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  12.  40
    The AI Elephant.Liu Feng - 1989 - AI and Society 3 (4):336-345.
    The paper presents a Chinese philosophical point of view of AI, and presents a novel system of the AI machine. There are two basic relations or contradictions which drive computer developments forward. One is between software and hardware and the other is between data structure and system organization. It is suggested that a description of a future AI system should primarily start from these contradictions.
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  13.  42
    From AI to Cybernetics.Keizo Sato - 1991 - AI and Society 5 (2):155-161.
    Well-known critics of AI such as Hubert Dreyfus and Michael Polanyi tend to confuse cybernetics with AI. Such a confusion is quite misleading and should not be overlooked. In the first place, cybernetics is not vulnerable to criticism of AI as cognitivistic and behaviouristic. In the second place, AI researchers are recommended to consider the cybernetics approach as a way of overcoming the limitations of cognitivism and behaviourism.
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  14.  41
    AI in Medicine: A Japanese Perspective. [REVIEW]Dr Toshiyuki Furukawa - 1990 - AI and Society 4 (3):196-213.
    This article is concerned with the history and current state of research activities into medical expert systems (MES) in Japan. A brief review of expert systems' work over the last ten years is provided and here is a discussion on future directions of artificial intelligence (AI) applications in medicine, which we expect the Japanese AI community in medicine (AIM) to undertake.
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  15.  72
    The Intelligence Left in AI.Denis L. Baggi - 2000 - AI and Society 14 (3-4):348-378.
    In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...)
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  16. AI Winter.Steven Umbrello - forthcoming - In Michael Klein & Philip Frana (eds.), Encyclopedia of Artificial Intelligence: The Past, Present, and Future of AI. Santa Barbara, USA: ABC-CLIO.
    Coined in 1984 at the American Association of Artificial intelligence (now the Association for the Advancement of Artificial Intelligence or AAAI), the various boom and bust periods of AI research and funding lead AI researchers Marvin Minsky and Roger Schank to refer to the then-impending bust period as an AI Winter. Canadian AI researcher Daniel Crevier describes the phenomenon as a domino effect that begins with cynicism in the AI research community that then trickles to mass media and finally to (...)
     
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  17. AI As a Moral Right-Holder.Joseph Bowen & John Basl - forthcoming - In Markus Dubber, Frank Pasquale & Sunit Das (eds.), The Oxford Handbook of Ethics of AI. New York:
    This chapter evaluates whether AI systems are or will be rights-holders, explaining the conditions under which people should recognize AI systems as rights-holders. It develops a skeptical stance toward the idea that current forms of artificial intelligence are holders of moral rights, beginning with an articulation of one of the most prominent and most plausible theories of moral rights: the Interest Theory of rights. On the Interest Theory, AI systems will be rights-holders only if they have interests or a well-being. (...)
     
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  18. Why AI Doomsayers Are Like Sceptical Theists and Why It Matters.John Danaher - 2015 - Minds and Machines 25 (3):231-246.
    An advanced artificial intelligence could pose a significant existential risk to humanity. Several research institutes have been set-up to address those risks. And there is an increasing number of academic publications analysing and evaluating their seriousness. Nick Bostrom’s superintelligence: paths, dangers, strategies represents the apotheosis of this trend. In this article, I argue that in defending the credibility of AI risk, Bostrom makes an epistemic move that is analogous to one made by so-called sceptical theists in the debate about the (...)
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  19.  97
    AI Methods in Bioethics.Joshua August Skorburg, Walter Sinnott-Armstrong & Vincent Conitzer - 2020 - American Journal of Bioethics: Empirical Bioethics 1 (11):37-39.
    Commentary about the role of AI in bioethics for the 10th anniversary issue of AJOB: Empirical Bioethics.
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  20. Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2019 - Synthese:arXiv:1901.02918v1.
    Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...)
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  21. New Developments in the Philosophy of AI.Vincent Müller - 2016 - In Fundamental Issues of Artificial Intelligence. Springer.
    The philosophy of AI has seen some changes, in particular: 1) AI moves away from cognitive science, and 2) the long term risks of AI now appear to be a worthy concern. In this context, the classical central concerns – such as the relation of cognition and computation, embodiment, intelligence & rationality, and information – will regain urgency.
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  22.  41
    Thinking About ‘Ethics’ in the Ethics of AI.Pak-Hang Wong & Judith Simon - 2020 - IDEES 48.
    A major international consultancy firm identified ‘AI ethicist’ as an essential position for companies to successfully implement artificial intelligence (AI) at the start of 2019. It declares that AI ethicists are needed to help companies navigate the ethical and social issues raised by the use of AI. Top 5 AI hires companies need to succeed in 2019. The view that AI is beneficial but nonetheless potentially harmful to individuals and society is widely shared by the industry, academia, governments, and civil (...)
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  23.  11
    AI Assistants and the Paradox of Internal Automaticity.William A. Bauer & Veljko Dubljević - forthcoming - Neuroethics:1-8.
    What is the ethical impact of artificial intelligence assistants on human lives, and specifically how much do they threaten our individual autonomy? Recently, as part of forming an ethical framework for thinking about the impact of AI assistants on our lives, John Danaher claims that if the external automaticity generated by the use of AI assistants threatens our autonomy and is therefore ethically problematic, then the internal automaticity we already live with should be viewed in the same way. He takes (...)
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  24. Friendly Superintelligent AI: All You Need is Love.Michael Prinzing - 2017 - In Vincent C. Müller (ed.), The Philosophy & Theory of Artificial Intelligence. Berlin: Springer. pp. 288-301.
    There is a non-trivial chance that sometime in the (perhaps somewhat distant) future, someone will build an artificial general intelligence that will surpass human-level cognitive proficiency and go on to become "superintelligent", vastly outperforming humans. The advent of superintelligent AI has great potential, for good or ill. It is therefore imperative that we find a way to ensure-long before one arrives-that any superintelligence we build will consistently act in ways congenial to our interests. This is a very difficult challenge in (...)
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  25.  7
    Against AI-Improved Personal Memory.Björn Lundgren - 2020 - In Aging between Participation and Simulation. pp. 223–234.
    In 2017, Tom Gruber held a TED talk, in which he presented a vision of improving and enhancing humanity with AI technology. Specifically, Gruber suggested that an AI-improved personal memory (APM) would benefit people by improving their “mental gain”, making us more creative, improving our “social grace”, enabling us to do “science on our own data about what makes us feel good and stay healthy”, and, for people suffering from dementia, it “could make a difference between a life of isolation (...)
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  26.  63
    Feminist AI: Can We Expect Our AI Systems to Become Feminist?Galit Wellner & Tiran Rothman - 2020 - Philosophy and Technology 33 (2):191-205.
    The rise of AI-based systems has been accompanied by the belief that these systems are impartial and do not suffer from the biases that humans and older technologies express. It becomes evident, however, that gender and racial biases exist in some AI algorithms. The question is where the bias is rooted—in the training dataset or in the algorithm? Is it a linguistic issue or a broader sociological current? Works in feminist philosophy of technology and behavioral economics reveal the gender bias (...)
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  27.  51
    A Tale of Two Deficits: Causality and Care in Medical AI.Melvin Chen - 2020 - Philosophy and Technology 33 (2):245-267.
    In this paper, two central questions will be addressed: ought we to implement medical AI technology in the medical domain? If yes, how ought we to implement this technology? I will critically engage with three options that exist with respect to these central questions: the Neo-Luddite option, the Assistive option, and the Substitutive option. I will first address key objections on behalf of the Neo-Luddite option: the Objection from Bias, the Objection from Artificial Autonomy, the Objection from Status Quo, and (...)
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  28. Philosophy and Theory of Artificial Intelligence, 3–4 October (Report on PT-AI 2011).Vincent C. Müller - 2011 - The Reasoner 5 (11):192-193.
    Report for "The Reasoner" on the conference "Philosophy and Theory of Artificial Intelligence", 3 & 4 October 2011, Thessaloniki, Anatolia College/ACT, http://www.pt-ai.org. --- Organization: Vincent C. Müller, Professor of Philosophy at ACT & James Martin Fellow, Oxford http://www.sophia.de --- Sponsors: EUCogII, Oxford-FutureTech, AAAI, ACM-SIGART, IACAP, ECCAI.
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  29. Theory and Philosophy of AI (Minds and Machines, 22/2 - Special Volume).Vincent C. Müller (ed.) - 2012 - Springer.
    Invited papers from PT-AI 2011. - Vincent C. Müller: Introduction: Theory and Philosophy of Artificial Intelligence - Nick Bostrom: The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents - Hubert L. Dreyfus: A History of First Step Fallacies - Antoni Gomila, David Travieso and Lorena Lobo: Wherein is Human Cognition Systematic - J. Kevin O'Regan: How to Build a Robot that Is Conscious and Feels - Oron Shagrir: Computation, Implementation, Cognition.
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  30. Hubert L. Dreyfus’s Critique of Classical AI and its Rationalist Assumptions.Setargew Kenaw - 2008 - Minds and Machines 18 (2):227-238.
    This paper deals with the rationalist assumptions behind researches of artificial intelligence (AI) on the basis of Hubert Dreyfus’s critique. Dreyfus is a leading American philosopher known for his rigorous critique on the underlying assumptions of the field of artificial intelligence. Artificial intelligence specialists, especially those whose view is commonly dubbed as “classical AI,” assume that creating a thinking machine like the human brain is not a too far away project because they believe that human intelligence works on the basis (...)
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  31.  27
    Artificial Intelligence and the Body: Dreyfus, Bickhard, and the Future of AI.Daniel Susser - 2013 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence. Berlin: Springer. pp. 277-287.
    For those who find Dreyfus’s critique of AI compelling, the prospects for producing true artificial human intelligence are bleak. An important question thus becomes, what are the prospects for producing artificial non-human intelligence? Applying Dreyfus’s work to this question is difficult, however, because his work is so thoroughly human-centered. Granting Dreyfus that the body is fundamental to intelligence, how are we to conceive of non-human bodies? In this paper, I argue that bringing Dreyfus’s work into conversation with the work of (...)
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  32. Could a Created Being Ever Be Creative? Some Philosophical Remarks on Creativity and AI Development.Y. J. Erden - 2010 - Minds and Machines 20 (3):349-362.
    Creativity has a special role in enabling humans to develop beyond the fulfilment of simple primary functions. This factor is significant for Artificial Intelligence (AI) developers who take replication to be the primary goal, since moves toward creating autonomous artificial-beings beg questions about their potential for creativity. Using Wittgenstein’s remarks on rule-following and language-games, I argue that although some AI programs appear creative, to call these programmed acts creative in our terms is to misunderstand the use of this word in (...)
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  33.  41
    AI and the Conquest of Complexity in Law.L. Wolfgang Bibel - 2004 - Artificial Intelligence and Law 12 (3):159-180.
    The paper identifies some of the problems with legal systems and outlines the potential of AI technology for overcoming them. For expository purposes, this outline is based on a simplified epistemology of the primary functions of law. Social and philosophical impediments from the side of the legal community to taking advantage of the potential of this technology are discussed and strategic recommendations are given.
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  34.  99
    Did Searle Attack Strong Strong AI or Weak Strong AI?Aaron Sloman - 1986 - In Artificial Intelligence and its Applications. Chichester.
    John Searle's attack on the Strong AI thesis, and the published replies, are all based on a failure to distinguish two interpretations of that thesis, a strong one, which claims that the mere occurrence of certain process patterns will suffice for the occurrence of mental states, and a weak one which requires that the processes be produced in the right sort of way. Searle attacks strong strong AI, while most of his opponents defend weak strong AI. This paper explores some (...)
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  35. Comments on “The Replication of the Hard Problem of Consciousness in AI and Bio-AI”.Blake H. Dournaee - 2010 - Minds and Machines 20 (2):303-309.
    In their joint paper entitled The Replication of the Hard Problem of Consciousness in AI and BIO-AI (Boltuc et al. Replication of the hard problem of conscious in AI and Bio- AI: An early conceptual framework 2008), Nicholas and Piotr Boltuc suggest that machines could be equipped with phenomenal consciousness, which is subjective consciousness that satisfies Chalmer’s hard problem (We will abbreviate the hard problem of consciousness as H-consciousness ). The claim is that if we knew the inner workings of (...)
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  36.  34
    Marxist Philosophy in China: From Qu Qiubai to Mao Zedong, 1923-1945.Nick Knight - 2005 - Springer.
    This book examines the introduction of Marxist philosophy to China from the early 1920s to the mid 1940s. It does this through an examination of the philosophical activities and writings of four Chinese Marxist philosophers central to this process. These are Qu Qiubai, Ai Siqi, Li Da and Mao Zedong. The book sets the philosophical writings of these philosophers in the context of the development of Marxist philosophy internationally, and examines particularly the influence on these philosophers of Soviet Marxist (...)
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  37.  12
    Did Searle Attack Strong Strong or Weak Strong AI.Aaron Sloman - 1986 - In A. G. Cohn and & R. J. Thomas (eds.), Artificial Intelligence and its Applications. John Wiley and Sons.
    John Searle's attack on the Strong AI thesis, and the published replies, are all based on a failure to distinguish two interpretations of that thesis, a strong one, which claims that the mere occurrence of certain process patterns will suffice for the occurrence of mental states, and a weak one which requires that the processes be produced in the right sort of way. Searle attacks strong strong AI, while most of his opponents defend weak strong AI. This paper explores some (...)
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  38.  45
    Tongbian in the Chinese Reading of Dialectical Materialism.Chenshan Tian - 2002 - Philosophy East and West 52 (1):126-144.
    Western materialism and dialectics are different from their Chinese analogues. The informed perspective presented here may rouse a sensitivity to these differences in a tongbian reading of Marxist philosophy on the part of Chinese intellectuals; Marxism is no longer exactly what it is understood to be in the Western tradition. Ai Siqi's discussions of "materialism" and "the interpenetration of opposites" exemplify how Chinese Marxism draws on tongbian to read Marx and Engels in a distinctly different way. Little in Ai's (...)
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  39.  11
    Beyond the Middle Finger: Plato, Schiller and the Political Aesthetics of Ai Weiwei.Jason Miller - 2016 - Critical Horizons 17 (3-4):304-323.
    The photograph of Ai Weiwei’s middle finger set against the backdrop of Tiananmen Square has become an icon of politically subversive art. But can we see beyond the middle finger? Here I argue that current theories of political aesthetics operate on an oversimplified dichotomy between two competing paradigms of political art, and that this threatens a more nuanced engagement with contemporary artistic practices. In the first part, I re-examine both the antagonistic relation between art and politics exemplified in Plato's verdict (...)
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  40.  31
    Utilising Appreciative Inquiry (AI) in Creating a Shared Meaning of Ethics in Organisations.L. J. van Vuuren & F. Crous - 2005 - Journal of Business Ethics 57 (4):399-412.
    . The management of ethics within organisations typically occurs within a problem-solving frame of reference. This often results in a reactive, problem-based and externally induced approach to managing ethics. Although basing ethics management interventions on dealing with and preventing current and possible future unethical behaviour are often effective in that it ensures compliance with rules and regulations, the approach is not necessarily conducive to the creation of sustained ethical cultures. Nor does the approach afford (mainly internal) stakeholders the opportunity to (...)
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  41.  36
    AI and Law: What About the Future? [REVIEW]Anja Oskamp, Maaike Tragter & Cees Groendijk - 1995 - Artificial Intelligence and Law 3 (3):209-215.
    The introduction of results of AI and Law research in actual legal practice advances disturbingly slow. One of the problems is that most research can be classified as either theoretical or pragmatic, while combinations of these two are scarce. This interferes with the need for feedback as well as with the need of getting support, both financially and from actual legal practice. The conclusion of this paper is that an emphasis on research that generates operational and sophisticated systems is necessary (...)
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  42.  28
    Die Starke KI-TheseThe Strong AI-Thesis.Stephan Zelewski - 1991 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 22 (2):337-348.
    Summary The controversy about the strong AI-thesis was recently revived by two interrelated contributions stemming from J. R. Searle on the one hand and from P. M. and P. S. Churchland on the other hand. It is shown that the strong AI-thesis cannot be defended in the formulation used by the three authors. It violates some well accepted criterions of scientific argumentation, especially the rejection of essentialistic definitions. Moreover, Searle's ‘proof’ is not conclusive. Though it may be reconstructed in a (...)
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  43. Bianzhengfa, a Chinese Representation of Marxian Dialectics.Chenshan Tian - 1999 - Dissertation, University of Hawai'i
    Western scholars read "dialectical materialism" in Chinese Marxism within a Western philosophical frame. Some hold that Chinese Marxism is Chinese in some important sense, but fail to see what is involved; others see nothing particularly Chinese about Chinese Marxism. Similarly, Chinese Marxists identify bianzhengfa with Marxian dialectic, without adequately realizing the difficulties attending that concept. ;The dissertation shows tongbian as a distinct but not necessarily unique style of Chinese "thought" , which was formulated in ancient philosophical literature such as the (...)
     
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  44. AI Extenders and the Ethics of Mental Health.Karina Vold & Jose Hernandez-Orallo - forthcoming - In Marcello Ienca & Fabrice Jotterand (eds.), Ethics of Artificial Intelligence in Brain and Mental Health.
    The extended mind thesis maintains that the functional contributions of tools and artefacts can become so essential for our cognition that they can be constitutive parts of our minds. In other words, our tools can be on a par with our brains: our minds and cognitive processes can literally ‘extend’ into the tools. Several extended mind theorists have argued that this ‘extended’ view of the mind offers unique insights into how we understand, assess, and treat certain cognitive conditions. In this (...)
     
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  45.  39
    The Hard Problem of AI Rights.Adam J. Andreotta - forthcoming - AI and Society:1-14.
    In the past few years, the subject of AI rights—the thesis that AIs, robots, and other artefacts (hereafter, simply ‘AIs’) ought to be included in the sphere of moral concern—has started to receive serious attention from scholars. In this paper, I argue that the AI rights research program is beset by an epistemic problem that threatens to impede its progress—namely, a lack of a solution to the ‘Hard Problem’ of consciousness: the problem of explaining why certain brain states give rise (...)
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  46. Designing AI for Social Good: Seven Essential Factors.Josh Cowls, Thomas C. King, Mariarosaria Taddeo & Luciano Floridi - manuscript
    The idea of Artificial Intelligence for Social Good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to address social problems effectively through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies (Cath et al. 2018). This article addresses this gap (...)
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  47.  23
    AI and the path to envelopment: knowledge as a first step towards the responsible regulation and use of AI-powered machines.Scott Robbins - 2020 - AI and Society 35 (2):391-400.
    With Artificial Intelligence entering our lives in novel ways—both known and unknown to us—there is both the enhancement of existing ethical issues associated with AI as well as the rise of new ethical issues. There is much focus on opening up the ‘black box’ of modern machine-learning algorithms to understand the reasoning behind their decisions—especially morally salient decisions. However, some applications of AI which are no doubt beneficial to society rely upon these black boxes. Rather than requiring algorithms to be (...)
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  48. Toward an Ethics of AI Assistants: An Initial Framework.John Danaher - 2018 - Philosophy and Technology 31 (4):629-653.
    Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...)
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  49.  19
    Aiming AI at a Moving Target: Health.Mihai Nadin - forthcoming - AI and Society:1-9.
    Justified by spectacular achievements facilitated through applied deep learning methodology, the “Everything is possible” view dominates this new hour in the “boom and bust” curve of AI performance. The optimistic view collides head on with the “It is not possible”—ascertainments often originating in a skewed understanding of both AI and medicine. The meaning of the conflicting views can be assessed only by addressing the nature of medicine. Specifically: Which part of medicine, if any, can and should be entrusted to AI—now (...)
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  50.  26
    In AI We Trust? Perceptions About Automated Decision-Making by Artificial Intelligence.Theo Araujo, Natali Helberger, Sanne Kruikemeier & Claes H. De Vreese - forthcoming - AI and Society:1-13.
    Fueled by ever-growing amounts of data and advances in artificial intelligence, decision-making in contemporary societies is increasingly delegated to automated processes. Drawing from social science theories and from the emerging body of research about algorithmic appreciation and algorithmic perceptions, the current study explores the extent to which personal characteristics can be linked to perceptions of automated decision-making by AI, and the boundary conditions of these perceptions, namely the extent to which such perceptions differ across media, health, and judicial contexts. Data (...)
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