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  1. Susan Leigh Anderson (2007). Asimov's “Three Laws of Robotics” and Machine Metaethics. AI and Society 22 (4):477-493.
    Using Asimov’s Bicentennial Man as a springboard, a number of metaethical issues concerning the emerging field of machine ethics are discussed. Although the ultimate goal of machine ethics is to create autonomous ethical machines, this presents a number of challenges. A good way to begin the task of making ethics computable is to create a program that enables a machine to act an ethical advisor to human beings. This project, unlike creating an autonomous ethical machine, will not require that we (...)
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  2. Colin Beardon (1994). Computers, Postmodernism and the Culture of the Artificial. AI and Society 8 (1):1-16.
    The term ‘the artificial’ can only be given a precise meaning in the context of the evolution of computational technology and this in turn can only be fully understood within a cultural setting that includes an epistemological perspective. The argument is illustrated in two case studies from the history of computational machinery: the first calculating machines and the first programmable computers. In the early years of electronic computers, the dominant form of computing was data processing which was a reflection of (...)
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  3. Selmer Bringsjord (2007). Ethical Robots: The Future Can Heed Us. AI and Society 22 (4):539-550.
    Bill Joy’s deep pessimism is now famous. Why the Future Doesn’t Need Us, his defense of that pessimism, has been read by, it seems, everyone—and many of these readers, apparently, have been converted to the dark side, or rather more accurately, to the future-is-dark side. Fortunately (for us; unfortunately for Joy), the defense, at least the part of it that pertains to AI and robotics, fails. Ours may be a dark future, but we cannot know that on the basis of (...)
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  4. Alan Bundy (2007). AI Bridges and Dreams. AI and Society 21 (4):659-668.
    This paper is a modified version of my acceptance lecture for the 1986 SPL-Insight Award. It turned into something of a personal credo -describing my view of  the nature of AI  the potential social benefit of applied AI  the importance of basic AI research  the role of logic and the methodology of rational construction  the interplay of applied and basic AI research, and  the importance of funding basic AI. These points are knitted together by (...)
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  5. Eric Dietrich (2011). Homo Sapiens 2.0 Why We Should Build the Better Robots of Our Nature. In M. Anderson S. Anderson (ed.), Machine Ethics. Cambridge Univ. Press.
    It is possible to survey humankind and be proud, even to smile, for we accomplish great things. Art and science are two notable worthy human accomplishments. Consonant with art and science are some of the ways we treat each other. Sacrifice and heroism are two admirable human qualities <span class='Hi'>that</span> pervade human interaction. But, as everyone knows, all this goodness is more than balanced by human depravity. Moral corruption infests our being. Why?
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  6. Richard Ennals (2009). Wendell Wallach and Colin Allen: Moral Machines: Teaching Robots Right From Wrong. AI and Society 24 (2):207-208.
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  7. Philippe Gagnon (2012). The Problem of Trans-Humanism in the Light of Philosophy and Theology. In James B. Stump & Alan G. Padgett (eds.), The Blackwell Companion to Science and Christianity, pp. 393-405. Blackwell.
    Transhumanism is a means of advocating a re-engineering of conditions that surround human existence at both ends. The problem set before us in this chapter is to inquire into what determined its appearance, in particular in the humanism it seeks to overcome. We look at the spirit of overcoming itself, and the impatience with the Self, in order to try to understand why it seeks a saving power in technology. We then consider how the evolutionary account of the production of (...)
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  8. Petros A. M. Gelepithis (1999). AI and Human Society. AI and Society 13 (3):312-321.
    This paper considers the impact of the AI R&D programme on human society and the individual human being on the assumption that a full realisation of the engineering objective of AI, namely, construction of human-level, domain-independent intelligent entities, is possible. Our assumption is essentially identical tothe maximum progress scenario of the Office of Technology Assessment, US Congress.
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  9. Greg Michaelson & Ruth Aylett (2011). Special Issue on Social Impact of AI: Killer Robots or Friendly Fridges. AI and Society 26 (4):317-318.
  10. Hiroaki Morio & Christopher Buchholz (2007). How Anonymous Are You Online? Examining Online Social Behaviors From a Cross-Cultural Perspective. AI and Society 23 (2):297-307.
    Communication on the Internet is often described as anonymous , yet the usage of the term is often confusing, even in academia. Three levels of anonymity, visual anonymity, dissociation of real and online identities, and lack of identifiability, are thought to have different effects on various components of interpersonal motivation. Specifically, we propose that cross-cultural differences in interpersonal motivation (autonomy vs. affiliation) are illustrated by choices individuals make when deciding whether or not to remain anonymous while communicating online. Autonomy is (...)
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  11. Ajit Narayanan (2007). AI and Accountability. AI and Society 21 (4):669-671.
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  12. Toyoaki Nishida & Ryosuke Nishida (2007). Socializing Artifacts as a Half Mirror of the Mind. AI and Society 21 (4):549-566.
    In the near future, our life will normally be surrounded with fairly complicated artifacts, enabled by the autonomous robot and brain–machine interface technologies. In this paper, we argue that what we call the responsibility flaw problem and the inappropriate use problem need to be overcome in order for us to benefit from complicated artifacts. In order to solve these problems, we propose an approach to endowing artifacts with an ability of socially communicating with other agents based on the artifact-as-a-half-mirror metaphor. (...)
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  13. Thomas M. Powers (2006). Prospects for a Kantian Machine. IEEE Intelligent Systems 21 (4):46-51.
    This paper is reprinted in the book Machine Ethics, eds. M. Anderson and S. Anderson, Cambridge University Press, 2011.
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  14. Thomas M. Powers (2005). Deontological Machine Ethics. In M. Anderson, S. L. Anderson & C. Armen (eds.), Association for the Advancement of Artificial Intelligence Fall Symposium Technical Report.
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  15. Jeffrey White (2009). Understanding and Augmenting Human Morality: The Actwith Model of Conscience. In L. Magnani (ed.), computational intelligence.
    Abstract. Recent developments, both in the cognitive sciences and in world events, bring special emphasis to the study of morality. The cognitive sci- ences, spanning neurology, psychology, and computational intelligence, offer substantial advances in understanding the origins and purposes of morality. Meanwhile, world events urge the timely synthesis of these insights with tra- ditional accounts that can be easily assimilated and practically employed to augment moral judgment, both to solve current problems and to direct future action. The object of the (...)
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