Results for 'artificial virtue'

982 found
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  1. (1 other version)Artificial virtuous agents: from theory to machine implementation.Jakob Stenseke - 2021 - AI and Society:1-20.
    Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To (...)
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  2. Virtues for AI.Jakob Ohlhorst - manuscript
    Virtue theory is a natural approach towards the design of artificially intelligent systems, given that the design of artificial intelligence essentially aims at designing agents with excellent dispositions. This has led to a lively research programme to develop artificial virtues. However, this research programme has until now had a narrow focus on moral virtues in an Aristotelian mould. While Aristotelian moral virtue has played a foundational role for the field, it unduly constrains the possibilities of (...) theory for artificial intelligence. This paper aims to remedy this limitation. Philosophers have developed a rich tradition investigating virtues, their normative domains and their structure. Drawing on this tradition, I propose a three-dimensional classification system of possible artificial virtues: virtues can be classified according to the domain in which virtue is an excellence, norm which makes a virtue an excellence, and mode how the virtue delivers the excellence. With this framework, we can discern gaps in the current theorising about artificial virtues. Additionally, it gives us a tool to evaluate the competences of extant artificially intelligent systems. (shrink)
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  3. Artificial virtuous agents in a multi-agent tragedy of the commons.Jakob Stenseke - 2022 - AI and Society:1-18.
    Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents, it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then (...)
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  4. The virtues of interpretable medical AI.Joshua Hatherley, Robert Sparrow & Mark Howard - 2024 - Cambridge Quarterly of Healthcare Ethics 33 (3).
    Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are “black boxes.” The initial response in the literature was a demand for “explainable AI.” However, recently, several authors have suggested that making AI more explainable or “interpretable” is likely to be at the cost of the accuracy of these systems and that prioritizing interpretability in medical AI may constitute a “lethal prejudice.” In this paper, we defend the value of (...)
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  5. The virtues of interpretable medical AI.Joshua Hatherley, Robert Sparrow & Mark Howard - 2024 - Cambridge Quarterly of Healthcare Ethics 33 (3):323-332.
    Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are 'black boxes'. The initial response in the literature was a demand for 'explainable AI'. However, recently, several authors have suggested that making AI more explainable or 'interpretable' is likely to be at the cost of the accuracy of these systems and that prioritising interpretability in medical AI may constitute a 'lethal prejudice'. In this paper, we defend the value of (...)
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  6. Understanding Artificial Agency.Leonard Dung - forthcoming - Philosophical Quarterly.
    Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and (...)
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  7. Ethics of Artificial Intelligence.Stefan Buijsman, Michael Klenk & Jeroen van den Hoven - forthcoming - In Nathalie Smuha (ed.), Cambridge Handbook on the Law, Ethics and Policy of AI. Cambridge University Press.
    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 (...)
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  8. Lab‐Grown Meat and Veganism: A Virtue‐Oriented Perspective.Carlo Alvaro - 2019 - Journal of Agricultural and Environmental Ethics 31 (135):1-15.
    The project of growing meat artificially represents for some the next best thing to humanity. If successful, it could be the solution to several problems, such as feed- ing a growing global population while reducing the environmental impact of raising animals for food and, of course, reducing the amount and degree of animal cruelty and suffering that is involved in animal farming. In this paper, I argue that the issue of the morality of such a project has been framed only (...)
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  9. Reid on Favors, Injuries, and the Natural Virtue of Justice.Lewis Powell & Gideon Yaffe - 2015 - In Todd Buras & Rebecca Copenhaver (eds.), Thomas Reid on Mind, Knowledge, and Value. Oxford, GB: Oxford University Press. pp. 249-266.
    Reid argues that Hume’s claim that justice is an artificial virtue is inconsistent with the fact that gratitude is a natural sentiment. This chapter shows that Reid’s argument succeeds only given a philosophy of mind and action that Hume rejects. Among other things, Reid assumes that one can conceive of one of a pair of contradictories only if one can conceive of the other—a claim that Hume denies. So, in the case of justice, the disagreement between Hume and (...)
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  10. Against the opacity, and for a qualitative understanding, of artificially intelligent technologies.Mahdi Khalili - 2023 - AI and Ethics.
    This paper aims, first, to argue against using opaque AI technologies in decision making processes, and second to suggest that we need to possess a qualitative form of understanding about them. It first argues that opaque artificially intelligent technologies are suitable for users who remain indifferent to the understanding of decisions made by means of these technologies. According to virtue ethics, this implies that these technologies are not well-suited for those who care about realizing their moral capacity. The paper (...)
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  11. First Steps Towards an Ethics of Robots and Artificial Intelligence.John Tasioulas - 2019 - Journal of Practical Ethics 7 (1):61-95.
    This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The first letter of each rubric taken together conveniently generates the acronym FIRST. Special attention is given to the rubrics of functionality and inherent significance given the centrality of the former and the tendency to neglect the latter in virtue of its somewhat nebulous and contested character. In (...)
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  12. Discerning genuine and artificial sociality: a technomoral wisdom to live with chatbots.Katsunori Miyahara & Hayate Shimizu - forthcoming - In Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature.
    Chatbots powered by large language models (LLMs) are increasingly capable of engaging in what seems like natural conversations with humans. This raises the question of whether we should interact with these chatbots in a morally considerate manner. In this chapter, we examine how to answer this question from within the normative framework of virtue ethics. In the literature, two kinds of virtue ethics arguments, the moral cultivation and the moral character argument, have been advanced to argue that we (...)
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  13. How virtue signalling makes us better: moral preferences with respect to autonomous vehicle type choices.Robin Kopecky, Michaela Jirout Košová, Daniel D. Novotný, Jaroslav Flegr & David Černý - 2023 - AI and Society 38 (2):937-946.
    One of the moral questions concerning autonomous vehicles (henceforth AVs) is the choice between types that differ in their built-in algorithms for dealing with rare situations of unavoidable lethal collision. It does not appear to be possible to avoid questions about how these algorithms should be designed. We present the results of our study of moral preferences (N = 2769) with respect to three types of AVs: (1) selfish, which protects the lives of passenger(s) over any number of bystanders; (2) (...)
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  14. A Metacognitive Approach to Trust and a Case Study: Artificial Agency.Ioan Muntean - 2019 - Computer Ethics - Philosophical Enquiry (CEPE) Proceedings.
    Trust is defined as a belief of a human H (‘the trustor’) about the ability of an agent A (the ‘trustee’) to perform future action(s). We adopt here dispositionalism and internalism about trust: H trusts A iff A has some internal dispositions as competences. The dispositional competences of A are high-level metacognitive requirements, in the line of a naturalized virtue epistemology. (Sosa, Carter) We advance a Bayesian model of two (i) confidence in the decision and (ii) model uncertainty. To (...)
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  15. Nonhuman Moral Agency: A Practice-Focused Exploration of Moral Agency in Nonhuman Animals and Artificial Intelligence.Dorna Behdadi - 2023 - Dissertation, University of Gothenburg
    Can nonhuman animals and artificial intelligence (AI) entities be attributed moral agency? The general assumption in the philosophical literature is that moral agency applies exclusively to humans since they alone possess free will or capacities required for deliberate reflection. Consequently, only humans have been taken to be eligible for ascriptions of moral responsibility in terms of, for instance, blame or praise, moral criticism, or attributions of vice and virtue. Animals and machines may cause harm, but they cannot be (...)
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  16. Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism.Aditya Hegde, Vibhav Agarwal & Shrisha Rao - 2020 - 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020).
    Modelling ethics is critical to understanding and analysing social phenomena. However, prior literature either incorporates ethics into agent strategies or uses it for evaluation of agent behaviour. This work proposes a framework that models both, ethical decision making as well as evaluation using virtue ethics and utilitarianism. In an iteration, agents can use either the classical Continuous Prisoner's Dilemma or a new type of interaction called moral interaction, where agents donate or steal from other agents. We introduce moral interactions (...)
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  17. Elements of Episodic Memory: Insights from Artificial Agents.Alexandria Boyle & Andrea Blomkvist - forthcoming - Philosophical Transactions of the Royal Society B.
    Many recent AI systems take inspiration from biological episodic memory. Here, we ask how these ‘episodic-inspired’ AI systems might inform our understanding of biological episodic memory. We discuss work showing that these systems implement some key features of episodic memory whilst differing in important respects, and appear to enjoy behavioural advantages in the domains of strategic decision-making, fast learning, navigation, exploration and acting over temporal distance. We propose that these systems could be used to evaluate competing theories of episodic memory’s (...)
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  18. Justice and the Tendency towards Good: The Role of Custom in Hume's Theory of Moral Motivation.James Chamberlain - 2017 - Hume Studies 43 (1):117-137.
    Given the importance of sympathetic pleasures within Hume’s account of approval and moral motivation, why does Hume think we feel obliged to act justly on those occasions when we know that doing so will benefit nobody? I argue that Hume uses the case of justice as evidence for a key claim regarding all virtues. Hume does not think we approve of token virtuous actions, whether natural or artificial, because they cause or aim to cause happiness in others. It is (...)
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  19. Self-Absorption in the Digital Era: A Review of "Self-Improvement Technologies of the Soul in the Age of Artificial Intelligence" by Mark Coeckelbergh. [REVIEW]James J. Hughes - 2024 - Journal of Ethics and Emerging Technologies 33 (1).
    Mark Coeckelbergh is a Belgian philosopher who specializes in the philosophy of technology. His work primarily explores the intersection of technology and society, specifically the philosophical implications of emerging technologies such as AI and robotics. He has written on whether machines can be moral agents and how ethical frameworks should be applied to autonomous machines. He has a broad philosophical perspective drawing on classical sources, Eastern philosophy, Marxism, Foucault, phenomenology, and the postmodernists. In this short text, he brings his remarkable (...)
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  20. L'etica moderna. Dalla Riforma a Nietzsche.Sergio Cremaschi - 2007 - Roma RM, Italia: Carocci.
    This book tells the story of modern ethics, namely the story of a discourse that, after the Renaissance, went through a methodological revolution giving birth to Grotius’s and Pufendorf’s new science of natural law, leaving room for two centuries of explorations of the possible developments and implications of this new paradigm, up to the crisis of the Eighties of the eighteenth century, a crisis that carried a kind of mitosis, the act of birth of both basic paradigms of the two (...)
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  21. (1 other version)Word vector embeddings hold social ontological relations capable of reflecting meaningful fairness assessments.Ahmed Izzidien - 2021 - AI and Society (March 2021):1-20.
    Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would be (...)
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  22. Out of control: Flourishing with carebots through embodied design.Anco Peeters - 2024 - In Giulio Mecacci, D. Amoroso, L. Cavalcante Siebert, D. Abbink, J. van den Hoven & F. Santoni de Sio (eds.), Research Handbook on Meaningful Human Control of Artificial Intelligence Systems. Edward Elgar Publishing. pp. 38-52.
    The increasing complexity and ubiquity of autonomously operating artificially intelligent (AI) systems call for a robust theoretical reconceptualization of responsibility and control. The Meaningful Human Control (MHC) approach to the design and operation of AI systems provides such a framework. However, in its focus on accountability and minimizing harms, it neglects how we may flourish in interaction with such systems. In this chapter, I show how the MHC framework can be expanded to meet this challenge by drawing on the ethics (...)
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  23. Adam Smith on Morality and Self-Interest.Thomas R. Wells - 2013 - In Christopher Luetege (ed.), Handbook of the Philosophical Foundations of Business Ethics. Springer. pp. 281--296.
    Adam Smith is respected as the father of contemporary economics for his work on systemizing classical economics as an independent field of study in The Wealth of Nations. But he was also a significant moral philosopher of the Scottish Enlightenment, with its characteristic concern for integrating sentiments and rationality. This article considers Adam Smith as a key moral philosopher of commercial society whose critical reflection upon the particular ethical challenges posed by the new pressures and possibilities of commercial society remains (...)
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  24. 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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  25. On the computational complexity of ethics: moral tractability for minds and machines.Jakob Stenseke - 2024 - Artificial Intelligence Review 57 (105):90.
    Why should moral philosophers, moral psychologists, and machine ethicists care about computational complexity? Debates on whether artificial intelligence (AI) can or should be used to solve problems in ethical domains have mainly been driven by what AI can or cannot do in terms of human capacities. In this paper, we tackle the problem from the other end by exploring what kind of moral machines are possible based on what computational systems can or cannot do. To do so, we analyze (...)
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  26. Isbell Conjugacy for Developing Cognitive Science.Venkata Rayudu Posina, Posina Venkata Rayudu & Sisir Roy - manuscript
    What is cognition? Equivalently, what is cognition good for? Or, what is it that would not be but for human cognition? But for human cognition, there would not be science. Based on this kinship between individual cognition and collective science, here we put forward Isbell conjugacy---the adjointness between objective geometry and subjective algebra---as a scientific method for developing cognitive science. We begin with the correspondence between categorical perception and category theory. Next, we show how the Gestalt maxim is subsumed by (...)
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  27. Thinking unwise: a relational u-turn.Nicholas Barrow - 2022 - In Raul Hakli, Pekka Mäkelä & Johanna Seibt (eds.), Social Robots in Social Institutions. Proceedings of Robophilosophy’22. IOS Press.
    In this paper, I add to the recent flurry of research concerning the moral patiency of artificial beings. Focusing on David Gunkel's adaptation of Levinas, I identify and argue that the Relationist's extrinsic case-by-case approach of ascribing artificial moral status fails on two accounts. Firstly, despite Gunkel's effort to avoid anthropocentrism, I argue that Relationism is, itself, anthropocentric in virtue of how its case-by-case approach is, necessarily, assessed from a human perspective. Secondly I, in light of interpreting (...)
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  28. Mental time-travel, semantic flexibility, and A.I. ethics.Marcus Arvan - 2023 - AI and Society 38 (6):2577-2596.
    This article argues that existing approaches to programming ethical AI fail to resolve a serious moral-semantic trilemma, generating interpretations of ethical requirements that are either too semantically strict, too semantically flexible, or overly unpredictable. This paper then illustrates the trilemma utilizing a recently proposed ‘general ethical dilemma analyzer,’ GenEth. Finally, it uses empirical evidence to argue that human beings resolve the semantic trilemma using general cognitive and motivational processes involving ‘mental time-travel,’ whereby we simulate different possible pasts and futures. I (...)
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  29. Susan Schneider's Proposed Tests for AI Consciousness: Promising but Flawed.D. B. Udell & Eric Schwitzgebel - 2021 - Journal of Consciousness Studies 28 (5-6):121-144.
    Susan Schneider (2019) has proposed two new tests for consciousness in AI (artificial intelligence) systems, the AI Consciousness Test and the Chip Test. On their face, the two tests seem to have the virtue of proving satisfactory to a wide range of consciousness theorists holding divergent theoretical positions, rather than narrowly relying on the truth of any particular theory of consciousness. Unfortunately, both tests are undermined in having an ‘audience problem’: Those theorists with the kind of architectural worries (...)
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  30. Why computers can't feel pain.John Mark Bishop - 2009 - Minds and Machines 19 (4):507-516.
    The most cursory examination of the history of artificial intelligence highlights numerous egregious claims of its researchers, especially in relation to a populist form of ‘strong’ computationalism which holds that any suitably programmed computer instantiates genuine conscious mental states purely in virtue of carrying out a specific series of computations. The argument presented herein is a simple development of that originally presented in Putnam’s (Representation & Reality, Bradford Books, Cambridge in 1988 ) monograph, “Representation & Reality”, which if (...)
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  31. A Cognitive Computation Fallacy? Cognition, Computations and Panpsychism.John Mark Bishop - 2009 - Cognitive Computation 1 (3):221-233.
    The journal of Cognitive Computation is defined in part by the notion that biologically inspired computational accounts are at the heart of cognitive processes in both natural and artificial systems. Many studies of various important aspects of cognition (memory, observational learning, decision making, reward prediction learning, attention control, etc.) have been made by modelling the various experimental results using ever-more sophisticated computer programs. In this manner progressive inroads have been made into gaining a better understanding of the many components (...)
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  32. Introducing THE PHILOSOPHY OF CREATIVITY.Elliot Samuel Paul & Scott Barry Kaufman - 2014 - In Elliot Samuel Paul & Scott Barry Kaufman (eds.), The Philosophy of Creativity. New York: Oxford University Press. pp. 3-14.
    Creativity pervades human life. It is the mark of individuality, the vehicle of self-expression, and the engine of progress in every human endeavor. It also raises a wealth of neglected and yet evocative philosophical questions: What is the role of consciousness in the creative process? How does the audience for a work for art influence its creation? How can creativity emerge through childhood pretending? Do great works of literature give us insight into human nature? Can a computer program really be (...)
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  33. Epistemic Normativity & Epistemic Autonomy: The True Belief Machine.Spencer Paulson - 2023 - Philosophical Studies 180 (8):2415-2433.
    Here I will re-purpose Nozick’s (1974) “Experience Machine” thought experiment against hedonism into an argument against Veritic Epistemic Consequentialism. According to VEC, the right action, epistemically speaking, is the one that results in at least as favorable a ratio of true to false belief as any other action available. A consequence of VEC is that it would be epistemically right to outsource all your cognitive endeavors to a matrix-like “True Belief Machine” that uploads true beliefs through artificial stimulation. Rather (...)
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  34.  45
    Normativity and the Intelligent Matter Framework.Barnaby Crook - forthcoming - In Michael te Vrugt (ed.), Artificial Intelligence and Intelligent Matter. Springer Nature.
    An emerging field operating at the intersection of artificial intelligence, materials science, physical chemistry, and nanotechnology targets the creation of intelligent matter. However, despite demonstration of a range of interesting behaviours in molecular systems and soft materials, the goal of producing truly intelligent matter remains elusive. To aid the research effort, Kaspar and colleagues have elaborated a theoretical framework which purports to guide and evaluate progress towards the goal. In this paper, I address foundational conceptual issues with this intelligent (...)
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  35. Proper embodiment: the role of the body in affect and cognition.Mog Stapleton - 2011 - Dissertation, University of Edinburgh
    Embodied cognitive science has argued that cognition is embodied principally in virtue of grossmorphological and sensorimotor features. This thesis argues that cognition is also internally embodied in affective and fine-grained physiological features whose transformative roles remain mostly unnoticed in contemporary cognitive science. I call this ‘proper embodiment’. I approach this larger subject by examining various emotion theories in philosophy and psychology. These tend to emphasise one of the many gross components of emotional processes, such as ‘feeling’ or ‘judgement’ to (...)
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  36. Transformações do significado de conflito na "História de Florença" de Maquiavel.José Luiz Ames - 2014 - Kriterion: Journal of Philosophy 55 (129):265-286.
    exam of the issue of conflict since the “History of Florence” provides us with elements capable to show the Machiavellian reflection does not evolve according to such a simple and linear way as it is shown in the “Discourses”. In fact, investigation will reveal that the opposition between the two types of conflict – positive conflict and negative conflict –, described in the “Discourses”, is progressively defined, from the analysis of Florentian history, as being just one type – the tragic (...)
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  37. Review of The AI Mirror by Shannon Vallor. [REVIEW]Daniel Story - forthcoming - Journal of Moral Philosophy.
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  38. What Makes Jeopardy! a Good Game?Brendan Shea - 2012 - In Shaun P. Young (ed.), Jeopardy! and Philosophy: What is Knowledge in the Form of a Question? Open Court. pp. 27-39.
    Competitive quiz shows, and Jeopardy! in particular, occupy a unique place among TV game shows. The most successful Jeopardy! contestants—Ken Jennings, Brad Rutter, Frank Sparenberg, and so on—have appeared on late night talk shows, been given book contracts, and been interviewed by major newspapers. This sort of treatment is substantially different than, say, the treatment that the winners of The Price is Right or Deal or No Deal are afforded. The distinctive status of quiz shows is evidenced in other ways (...)
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  39. 3D-visualization of macromolecules in bioinformatics: epistemological aspect.Mikhail Voloshin - 2021 - Praxema 30 (4):12-35.
    Bioinformatics scientists often describe their own scientific activities as the practice of working with large amounts of data using computing devices. An essential part of their self-identification is also the development of ways to visually represent the results of this work. Some of these methods are aimed at building convenient representations of data and demonstrating patterns present in them (graphics, diagrams, graphs). Others are ways of visualizing objects that are not directly accessible to human perception (microphotography, X-ray). Both the construction (...)
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  40. Early and Later Putnam on Functionalism.Rajakishore Nath - 2005 - Sandhan: Journal of Centre for Studies in Civilizations 5 (2):53-64.
    In this paper, I shall review the reasons that let Putnam to propose functionalism and the reasons that subsequently led him to abandon it. I would like to discuss Putnam's views belonging to early Putnam and later Putnam. First, let us focus on early Putnam. Early Putnam tries to show the possibility of robot consciousness. As a functionalist, Putnam shows that the human being is an autonomous: that is, human mind is a computing machine. Later, he changes his position to (...)
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  41. Who Should Bear the Risk When Self-Driving Vehicles Crash?Antti Kauppinen - 2020 - Journal of Applied Philosophy 38 (4):630-645.
    The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On (...)
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  42. The Lure of the Advertising Image: A Platonic Analysis.Richard Oxenberg - manuscript
    Sut Jhally begins his essay “Advertising at the Edge of the Apocalypse” with the following provocative claim: “Advertising is the most powerful and sustained system of propaganda in human history and its cumulative effects, unless quickly checked, will be responsible for destroying the world as we know it.” Jhally argues that the advertising industry, in fostering an association between human aspiration and desire for consumable goods, creates an artificial demand for such goods that is, at once, far in excess (...)
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  43. Epistemological Alchemy through the hermeneutics of Bits and Bytes.Shahnawaz Akhtar - manuscript
    This paper delves into the profound advancements of Large Language Models (LLMs), epitomized by GPT-3, in natural language processing and artificial intelligence. It explores the epistemological foundations of LLMs through the lenses of Aristotle and Kant, revealing apparent distinctions from human learning. Transitioning seamlessly, the paper then delves into the ethical landscape, extending beyond knowledge acquisition to scrutinize the implications of LLMs in decision-making and content creation. The ethical scrutiny, employing virtue ethics, deontological ethics, and teleological ethics, delves (...)
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  44. Decoding the Meno.Wood David R. - 2023 - In Wood Stephen Foster (ed.), On the Origin of Artificial Species. RSG Federal.
    DECODING THE MENO The truth the dialectic Meno attempts to search for is human excellence or virtue. Part of this process is defining exactly what each concept really means. In truth, however, Plato has given the reader the answer – the greatest human virtue or excellence is imagination. The answer is subtly weaved into the dialogue itself. Plato has subliminally communicated the pattern of excellence.
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  45. How the Intrinsic Representation of Artiffcial Intelligence is Possible.Guanghui Li - 2019 - Journal of Dialectics of Nature (No.247):41-47.
    Searle and some others believe that symbols’ meanings are derived from user’s assigning and interpretation, but not intrinsic to itself, and no object is a symbol by virtue of its physics. This criticism has brought about the "symbol grounding problem" in the philosophy of artificial intelligence. Computationalism believe that explicit symbols’ semantic contents are derived does not mean all the other kinds of symbols are also extrinsic. So, how is it possible that non-derivative, intrinsic representations are possible? By (...)
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  46. How AI Trained on the Confucian Analects Can Solve Ethical Dilemmas.Emma So - 2024 - Curieux Academic Journal 1 (Issue 42):56-67.
    The influence of AI has spread globally, intriguing both the East and the West. As a result, some Chinese scholars have explored how AI and Chinese philosophy can be examined together, and have offered some unique insights into AI from a Chinese philosophical perspective. Similarly, we investigate how the two fields can be developed in conjunction, focusing on the popular Confucian philosophy. In this work, we use Confucianism as a philosophical foundation to investigate human-technology relations closely, proposing that a Confucian-imbued (...)
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  47. Physics and the phenomenal world.Jean Petitot & Barry Smith - 1996 - In Roberto Poli & Peter Simons (eds.), Formal Ontology: Papers Presented at the International Summer School in Philosophy and Artificial Intelligence on "Formal Ontology", Bolzano, Italy, July 1-5, 1991, Central European Institute of Culture. Dordrecht, Netherland: Kluwer. pp. 233-254.
    The paper challenges the assumption, common amongst philosophers, that the reality described in the fundamental theories of microphysics is all the reality we have. It will be argued that this assumption is in fact incompatible with the nature of such theories. It will be shown further that the macro-world of three-dimensional bodies and of such qualitative structures as colour and sound can be treated scientifically on its own terms, which is to say not only from the perspective of psychology but (...)
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  48. Relationships and events: towards a general theory of reification and truthmaking.Nicola Guarino & Giancarlo Guizzardi - 2016 - In G. Adorni, S. Cagnoni, M. Gori & M. Maratea (eds.), Advances in Artificial Intelligence: Proceedings of the 15th International Conference of the Italian Associa- tion for Artificial Intelligence. Springer. pp. 237-249.
    We propose a novel ontological analysis of relations and relationships based on a re-visitation of a classic problem in the practice of knowledge repre- sentation and conceptual modeling, namely relationship reification. Our idea is that a relation holds in virtue of a relationship's existence. Relationships are therefore truthmakers of relations. In this paper we present a general theory or reification and truthmaking, and discuss the interplay between events and rela- tionships, suggesting that relationships are the focus of events, which (...)
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  49. 8 Rightful Machines.Ava Thomas Wright - 2022 - In Hyeongjoo Kim & Dieter Schönecker (eds.), Kant and Artificial Intelligence. De Gruyter. pp. 223-238.
    In this paper, I set out a new Kantian approach to resolving conflicts between moral obligations for highly autonomous machine agents. First, I argue that efforts to build explicitly moral autonomous machine agents should focus on what Kant refers to as duties of right, which are duties that everyone could accept, rather than on duties of virtue (or “ethics”), which are subject to dispute in particular cases. “Moral” machines must first be rightful machines, I argue. I then show how (...)
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  50. In Conversation with Artificial Intelligence: Aligning language Models with Human Values.Atoosa Kasirzadeh - 2023 - Philosophy and Technology 36 (2):1-24.
    Large-scale language technologies are increasingly used in various forms of communication with humans across different contexts. One particular use case for these technologies is conversational agents, which output natural language text in response to prompts and queries. This mode of engagement raises a number of social and ethical questions. For example, what does it mean to align conversational agents with human norms or values? Which norms or values should they be aligned with? And how can this be accomplished? In this (...)
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