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Nick Bostrom, Ethical Issues in Advanced Artificial Intelligence.

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  1. Autonomous Machines, Moral Judgment, and Acting for the Right Reasons.Duncan Purves, Ryan Jenkins & Bradley J. Strawser - 2015 - Ethical Theory and Moral Practice 18 (4):851-872.
    We propose that the prevalent moral aversion to AWS is supported by a pair of compelling objections. First, we argue that even a sophisticated robot is not the kind of thing that is capable of replicating human moral judgment. This conclusion follows if human moral judgment is not codifiable, i.e., it cannot be captured by a list of rules. Moral judgment requires either the ability to engage in wide reflective equilibrium, the ability to perceive certain facts as moral considerations, moral (...)
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  2. Thinking Inside the Box: Controlling and Using an Oracle AI.Stuart Armstrong, Anders Sandberg & Nick Bostrom - 2012 - Minds and Machines 22 (4):299-324.
    There is no strong reason to believe that human-level intelligence represents an upper limit of the capacity of artificial intelligence, should it be realized. This poses serious safety issues, since a superintelligent system would have great power to direct the future according to its possibly flawed motivation system. Solving this issue in general has proven to be considerably harder than expected. This paper looks at one particular approach, Oracle AI. An Oracle AI is an AI that does not act in (...)
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    Computing Machinery and Morality.Blay Whitby - 2008 - AI and Society 22 (4):551-563.
    Artificial Intelligence (AI) is a technology widely used to support human decision-making. Current areas of application include financial services, engineering, and management. A number of attempts to introduce AI decision support systems into areas which more obviously include moral judgement have been made. These include systems that give advice on patient care, on social benefit entitlement, and even ethical advice for medical professionals. Responding to these developments raises a complex set of moral questions. This paper proposes a clearer replacement question (...)
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    Self-Improving AI: An Analysis. [REVIEW]John Storrs Hall - 2007 - Minds and Machines 17 (3):249-259.
    Self-improvement was one of the aspects of AI proposed for study in the 1956 Dartmouth conference. Turing proposed a “child machine” which could be taught in the human manner to attain adult human-level intelligence. In latter days, the contention that an AI system could be built to learn and improve itself indefinitely has acquired the label of the bootstrap fallacy. Attempts in AI to implement such a system have met with consistent failure for half a century. Technological optimists, however, have (...)
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