Results for 'Ai Fukushima'

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  1.  29
    The Associations Between Regional Gray Matter Structural Changes and Changes of Cognitive Performance in Control Groups of Intervention Studies.Hikaru Takeuchi, Yasuyuki Taki, Yuko Sassa, Atsushi Sekiguchi, Tomomi Nagase, Rui Nouchi, Ai Fukushima & Ryuta Kawashima - 2015 - Frontiers in Human Neuroscience 9.
  2. Ai Silin Lun Wen Xuan.Silin Ai - 2011 - Zhonghua Shu Ju.
  3. AI for Social Good, AI for Datong.Pak-Hang Wong - 2021 - Informatio 26 (1):42-57.
    The Chinese government and technology companies assume a proactive stance towards digital technologies and AI and their roles in users’—and more generally, people’s—lives. This vision of ‘Tech for Good’, i.e., the development of good digital technologies and AI or the application of them for good, is also shared by major technology companies in the globe, e.g., Google, Microsoft, and Facebook. Interestingly, these initiatives have invited a number of critiques for their feasibility and desirability, particularly in relation to the social and (...)
     
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  4.  66
    After Fukushima Daiichi: New Global Institutions for Improved Nuclear Power Policy.Thom Brooks - 2012 - Ethics, Policy and Environment 15 (1):63 - 69.
    This comment argues for the importance of global institutions to regulate nuclear power. Nuclear power presents challenges across national borders irrespective of whether plants are maintained safely. There are international agreements in place on the disposal of nuclear waste, an issue of great concern in terms of environmental and health effects for any nuclear power policy. However, there remains a pressing need for an international agreement to ensure the safe maintenance of nuclear facilities. Safe nuclear power beyond waste disposal should (...)
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  5.  18
    TEPCO Fukushima Daiichi Nuclear Disaster and Social Media: A Chronolog-Ical Overview.Kenji Saito - 2012 - International Review of Information Ethics 18:12.
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  6.  16
    Fukushima ou la découverte du cygne noir.Yann Moulier Boutang & Anne Querrien - 2011 - Multitudes 45 (2):5-10.
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  7. Fukushima, Flawed Epistemology, and Black-Swan Events.Dr Kristin Shrader-Frechette - 2011 - Ethics, Policy and Environment 14 (3):267-272.
    In response to the Fukushima, Chernobyl, and Three Mile Island core melts, nuclear proponents allege they were “black-swan events”—extremely unlikely, at the tail of probability distributions. They...
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  8.  5
    A Turn to the Many: Ai Weiwei.Chang Tan & Ai Weiwei - 2021 - Diacritics 49 (1):150-155.
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  9.  39
    Phrase Structure Grammar, Montague Semantics, and Floating Quantifiers in Japanese.Kazuhiko Fukushima - 1991 - Linguistics and Philosophy 14 (6):581 - 628.
  10.  3
    Aspects of Ancient Medicine - (V.) Nutton, (L.) Totelin (Edd.) Ancient Medicine, Behind and Beyond Hippocrates: Essays in Honour of Elizabeth Craik. (Technai. An International Journal for Ancient Science and Technology 11.) Pp. 216, Ill. Pisa and Rome: Fabrizio Serra Editore, 2020. Paper, €115. Isbn: 978-88-3315-288-2. [REVIEW]Masayuki Fukushima - 2022 - The Classical Review 72 (1):300-302.
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  11.  39
    Fukushima Daiichi, Normal Accidents, and Moral Responsibility: Ethical Questions About Nuclear Energy.Benjamin Hale - 2011 - Ethics, Policy and Environment 14 (3):263 - 265.
    Ethics, Policy & Environment, Volume 14, Issue 3, Page 263-265, October 2011.
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  12.  8
    6. Fukushima: Resilience And The Unimaginable.Michael Ignatieff - 2017 - In The Ordinary Virtues: Moral Order in a Divided World. Harvard University Press. pp. 138-166.
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  13.  39
    Multilayered Sociocultural Phenomena: Associations Between Subjective Well‐Being and Economic Status.Fukushima Shintaro - 2016 - Zygon 51 (1):191-203.
    In this article, incoherent results of the associations between subjective well-being and economic status at multiple social levels are shown. Although individual-level positive associations are shown within developed countries, national-level associations disappear among developed countries. Group/area-level associations, meanwhile, do exist within Japanese societies. From these inconsistent phenomena, a sociocultural unit is proposed, within which well-being of people is collectively shared based on mutual reciprocity. The simple addition of social scientific results themselves cannot reconstruct the whole range of phenomena. Humanities could (...)
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  14.  54
    Fukushima, Flawed Epistemology, and Black-Swan Events.Kristin Shrader-Frechette - 2011 - Ethics, Policy and Environment 14 (3):267 - 272.
    Ethics, Policy & Environment, Volume 14, Issue 3, Page 267-272, October 2011.
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  15. On Small Devices of Thought: Concepts, Etymology and the Problem of Translation.Masato Fukushima - 2005 - In Bruno Latour & Peter Weibel (eds.), Making Things Public. MIT Press.
  16. Hearer's Aspect in Politeness: The Case of Requests.Saeko Fukushima - 2009 - In Dingfang Shu & Ken Turner (eds.), Contrasting Meanings in Languages of the East and West. Peter Lang.
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  17. F23. Shinshu University Hospital Established the Division of Clinical Genetics as One of its Central Service Departments.Yoshimitsu Fukushima - forthcoming - Bioethics in Asia: The Proceedings of the Unesco Asian Bioethics Conference (Abc'97) and the Who-Assisted Satellite Symposium on Medical Genetics Services, 3-8 Nov, 1997 in Kobe/Fukui, Japan, 3rd Murs Japan International Symposium, 2nd Congress of the Asi.
  18.  2
    After Fukushima: The Equivalence of Catastrophes.Jean-Luc Nancy - 2014 - Fordham University Press.
    In this book, the philosopher Jean-Luc Nancy examines the nature of catastrophes in the era of globalization and technology. Can a catastrophe be an isolated occurrence? Is there such a thing as a “natural” catastrophe when all of our technologies—nuclear energy, power supply, water supply—are necessarily implicated, drawing together the biological, social, economic, and political? Nancy examines these questions and more. Exclusive to this English edition are two interviews with Nancy conducted by Danielle Cohen-Levinas and Yuji Nishiyama and Yotetsu Tonaki.
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  19.  11
    Japanese Philosophy After Fukushima.John A. Tucker - 2017 - Journal of Japanese Philosophy 5:11-42.
    The imperative that Japanese philosophy faces today, I assert, is the imperative of environmental philosophy. It is an imperative that has decidedly global origins and indisputable global significance. In discussing this imperative, I revive some age-old, perhaps idealistic, and even romantic themes from East Asian Confucian thinking in the hopes that they might become more central motifs of Japanese philosophizing, charting a way forward in the wake of Fukushima, toward a more sustainable future. In the process, I critique admixtures (...)
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  20. Engineering Ethics on Fukushima.Yusuke Kaneko - 2013 - International Journal of Humanities and Social Science 3 (3).
    In this paper, we discuss the problems of Tohoku earthquake in terms of engineering ethics. But as“engineers,”we also count seismologists. This is because, simply thinking, the recent disaster is partially attributable to seismologists. Through the discussion, including an overview of the earthquake, we reach the conclusion endorsing the abolition of nuclear power plants.
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  21.  12
    Fukushima : une mutation épistémico-politique.Alain-Marc Rieu - 2016 - Rue Descartes 88 (1):48.
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  22. 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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  23.  17
    AI and the Expert; a Blueprint for the Ethical Use of Opaque AI.Amber Ross - forthcoming - AI and Society.
    The increasing demand for transparency in AI has recently come under scrutiny. The question is often posted in terms of “epistemic double standards”, and whether the standards for transparency in AI ought to be higher than, or equivalent to, our standards for ordinary human reasoners. I agree that the push for increased transparency in AI deserves closer examination, and that comparing these standards to our standards of transparency for other opaque systems is an appropriate starting point. I suggest that a (...)
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  24.  41
    Will AI Take Away Your Job? [REVIEW]Marie Oldfield - 2020 - Tech Magazine.
    Will AI take away your job? The answer is probably not. AI systems can be good predictive systems and be very good at pattern recognition. AI systems have a very repetitive approach to sets of data, which can be useful in certain circumstances. However, AI does make obvious mistakes. This is because AI does not have a sense of context. As Humans we have years of experience in the real world. We have vast amounts of contextual data stored in our (...)
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  25.  1
    Weiwei-Isms.Ai Weiwei - 2012 - Princeton University Press.
    This collection of quotes demonstrates the elegant simplicity of Ai Weiwei's thoughts on key aspects of his art, politics, and life. A master at communicating powerful ideas in astonishingly few words, Ai Weiwei is known for his innovative use of social media to disseminate his views. The book is organized into six categories: freedom of expression; art and activism; government, power, and moral choices; the digital world; history, the historical moment, and the future; and personal reflections. Together, these quotes span (...)
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  26.  53
    AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Sarah Bankins, Paul Formosa, Yannick Griep & Deborah Richards - forthcoming - Information Systems Frontiers.
    Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriate- (...)
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  27. 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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  28. AI As a Moral Right-Holder.Joseph Bowen & John Basl - 2020 - In Markus Dubber, Frank Pasquale & Sunit Das (eds.), The Oxford Handbook of Ethics of AI. New York: Oxford University Press.
    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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  29.  67
    Certifiable AI.Jobst Landgrebe - 2022 - Applied Sciences 12 (3):1050.
    Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...)
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  30. AI Ethics: The Case for Including Animals.Peter Singer - 2022 - AI and Ethics 2 (3).
    The ethics of artificial intelligence, or AI ethics, is a rapidly growing field, and rightly so. While the range of issues and groups of stakeholders concerned by the field of AI ethics is expanding, with speculation about whether it extends even to the machines themselves, there is a group of sentient beings who are also affected by AI, but are rarely mentioned within the field of AI ethics—the nonhuman animals. This paper seeks to explore the kinds of impact AI has (...)
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  31.  3
    Following the Fukushima Disaster on (and Against) Wikipedia: A Methodological Note About STS Research and Online Platforms.David Moats - 2019 - Science, Technology, and Human Values 44 (6):938-964.
    Science and technology studies is famous for questioning conceptual and material boundaries by following controversies that cut across them. However, it has recently been argued that in research involving online platforms, there are also more practical boundaries to negotiate that are created by the variable availability, visibility, and structuring of data. In this paper, I highlight a potential tension between our inclination toward following controversies and “following the medium” and suggest that sometimes following controversies might involve going “against platforms” as (...)
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  32. AI-Completeness: Using Deep Learning to Eliminate the Human Factor.Kristina Šekrst - 2020 - In Sandro Skansi (ed.), Guide to Deep Learning Basics. Springer. pp. 117-130.
    Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...)
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  33.  25
    Troubleshooting AI and Consent.Elizabeth Edenberg & Meg Leta Jones - 2020 - In Markus Dubber, Frank Pasquale & Sunit Das (eds.), The Oxford Handbook of Ethics of AI. New York, NY, USA: pp. 347-362.
    As a normative concept, consent can perform the “moral magic” of transforming the moral relationship between two parties, rendering permissible otherwise impermissible actions. Yet, as a governance mechanism for achieving ethical data practices, consent has become strained—and AI has played no small part in its contentious state. In this chapter we will describe how consent has become such a controversial component of data protection as artificial intelligence systems have proliferated in our everyday lives, highlighting five distinct issues. We will then (...)
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  34.  47
    Medical AI and Human Dignity: Contrasting Perceptions of Human and Artificially Intelligent (AI) Decision Making in Diagnostic and Medical Resource Allocation Contexts.Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins & Deborah Richards - 2022 - Computers in Human Behaviour 133.
    Forms of Artificial Intelligence (AI) are already being deployed into clinical settings and research into its future healthcare uses is accelerating. Despite this trajectory, more research is needed regarding the impacts on patients of increasing AI decision making. In particular, the impersonal nature of AI means that its deployment in highly sensitive contexts-of-use, such as in healthcare, raises issues associated with patients’ perceptions of (un) dignified treatment. We explore this issue through an experimental vignette study comparing individuals’ perceptions of being (...)
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  35. Governing AI-Driven Health Research: Are IRBs Up to the Task?Phoebe Friesen, Rachel Douglas-Jones, Mason Marks, Robin Pierce, Katherine Fletcher, Abhishek Mishra, Jessica Lorimer, Carissa Véliz, Nina Hallowell, Mackenzie Graham, Mei Sum Chan, Huw Davies & Taj Sallamuddin - 2021 - Ethics and Human Research 2 (43):35-42.
    Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order (...)
     
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  36.  4
    The Medical Implications of Fukushima for Medical Students.Helen Caldicott - 2017 - Angelaki 22 (3):27-32.
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  37.  25
    The Two Faces of FBW7 in Cancer Drug Resistance.Zhiwei Wang, Hidefumi Fukushima, Daming Gao, Hiroyuki Inuzuka, Lixin Wan, Alan W. Lau, Pengda Liu & Wenyi Wei - 2011 - Bioessays 33 (11):851-859.
  38.  33
    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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  39.  42
    Apocalyptic Ai: Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality.Robert Geraci - 2010 - Oup Usa.
    Apocalyptic AI, the hope that we might one day upload our minds into machines and live forever in cyberspace, has become commonplace. This view now affects robotics and AI funding, play in online games, and philosophical and theological conversations about morality and human dignity.
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  40. AI Winter.Steven Umbrello - 2021 - In Michael Klein & Philip Frana (eds.), Encyclopedia of Artificial Intelligence: The Past, Present, and Future of AI. Santa Barbara, USA: ABC-CLIO. pp. 7-8.
    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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  41. Making AI Meaningful Again.Jobst Landgrebe & Barry Smith - 2021 - Synthese 198 (March):2061-2081.
    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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  42. AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI.Jose Hernandez-Orallo & Karina Vold - 2019 - In Proceedings of the AAAI/ACM 2019 Conference on AIES. pp. 507-513.
    Humans and AI systems are usually portrayed as separate sys- tems that we need to align in values and goals. However, there is a great deal of AI technology found in non-autonomous systems that are used as cognitive tools by humans. Under the extended mind thesis, the functional contributions of these tools become as essential to our cognition as our brains. But AI can take cognitive extension towards totally new capabil- ities, posing new philosophical, ethical and technical chal- lenges. To (...)
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  43.  5
    AI and the Law: Can Legal Systems Help Us Maximize Paperclips While Minimizing Deaths?Mihailis E. Diamantis, Rebekah Cochran & Miranda Dam - forthcoming - In Technology Ethics: A Philosophical Introduction and Readings.
    This Chapter provides a short undergraduate introduction to ethical and philosophical complexities surrounding the law’s attempt (or lack thereof) to regulate artificial intelligence. -/- Swedish philosopher Nick Bostrom proposed a simple thought experiment known as the paperclip maximizer. What would happen if a machine (the “PCM”) were given the sole goal of manufacturing as many paperclips as possible? It might learn how to transact money, source metal, or even build factories. The machine might also eventually realize that humans pose a (...)
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  44.  3
    'AI for All' is a Matter of Social Justice.Alessandra Buccella - 2022 - AI and Ethics 2:1-10.
    Artificial intelligence (AI) is a radically transformative technology (or system of technologies) that created new existential possibilities and new standards of well-being in human societies. In this article, I argue that to properly understand the increasingly important role AI plays in our society, we must consider its impacts on social justice. For this reason, I propose to conceptualize AI's transformative role and its socio-political implications through the lens of the theory of social justice known as the Capability Approach. According to (...)
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  45.  35
    Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions.Andrea Vestrucci, Sara Lumbreras & Lluis Oviedo - 2021 - International Journal of Interactive Multimedia and Artificial Intelligence 7 (1):24-33.
    The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. Computational systems and, in particular, what we commonly understand as Artificial Intelligence (AI), can provide some insights on how beliefs work as either a linear process or as a complex system. However, the computational approach has undergone some scrutiny, in particular about the differences between what (...)
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  46.  27
    AI Systems and Respect for Human Autonomy.Arto Laitinen & Otto Sahlgren - 2021 - Frontiers in Artificial Intelligence.
    This study concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection and processing, to computational (...)
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  47. AI Extenders and the Ethics of Mental Health.Karina Vold & Jose Hernandez-Orallo - forthcoming - In Marcello Ienca & Fabrice Jotterand (eds.), Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues. Springer International Publishing.
    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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  48.  47
    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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  49. When AI Meets PC: Exploring the Implications of Workplace Social Robots and a Human-Robot Psychological Contract.Sarah Bankins & Paul Formosa - 2019 - European Journal of Work and Organizational Psychology 2019.
    The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as likely (...)
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  50.  55
    Making AI Intelligible: Philosophical Foundations.Herman Cappelen & Josh Dever - 2021 - New York, USA: Oxford University Press.
    Can humans and artificial intelligences share concepts and communicate? Making AI Intelligible shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs and humans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. (...)
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