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Machine Ethics (or machine morality) is the part of the ethics of artificial intelligence concerned with the moral behavior of Artificial Moral Agents (AMAs) (e.g. robots and other artificially intelligent beings). It contrasts with roboethics, which is concerned with the moral behavior of humans as they design, construct, use and treat such beings. Machine ethics is sometimes referred to as computational ethics and computational morality.
- 1 History
- 2 Major questions
- 3 Approaches
- 4 Machine ethics in fiction
- 5 Related fields
- 6 See also
- 7 Notes
- 8 References
- 9 Further reading
- 10 External links
In 2009, Oxford University Press published Moral Machines, Teaching Robots Right from Wrong, which it advertised as "the first book to examine the challenge of building artificial moral agents, probing deeply into the nature of human decision making and ethics." It cited some 450 sources, about 100 of which addressed major questions of machine ethics. Few were written before the 21st century.
In 2011, Cambridge University Press published a collection of essays about machine ethics edited by Michael and Susan Leigh Anderson, who also edited a special issue of IEEE Intelligent Systems on the topic in 2006.
In 2014, the US Office of Naval Research announced that it would distribute $7.5 million in grants over five years to university researchers to study questions of machine ethics as applied to autonomous robots.
Articles about machine ethics appear on a regular basis in the journal Ethics and Information Technology.
Is this study urgent (or even non-fiction)?
In 2009, academics and technical experts attended a conference to discuss the potential impact of robots and computers and the impact of the hypothetical possibility that they could become self-sufficient and able to make their own decisions. They discussed the possibility and the extent to which computers and robots might be able to acquire any level of autonomy, and to what degree they could use such abilities to possibly pose any threat or hazard. They noted that some machines have acquired various forms of semi-autonomy, including being able to find power sources on their own and being able to independently choose targets to attack with weapons. They also noted that some computer viruses can evade elimination and have achieved "cockroach intelligence." They noted that self-awareness as depicted in science-fiction is probably unlikely, but that there were other potential hazards and pitfalls.
Some experts and academics have questioned the use of robots for military combat, especially when such robots are given some degree of autonomous functions. The US Navy has funded a report which indicates that as military robots become more complex, there should be greater attention to implications of their ability to make autonomous decisions. The President of the Association for the Advancement of Artificial Intelligence has commissioned a study to look at this issue. They point to programs like the Language Acquisition Device which can emulate human interaction.
Which specific learning algorithms should be used?
Nick Bostrom and Eliezer Yudkowsky have argued for decision trees (such as ID3) over neural networks and genetic algorithms on the grounds that decision trees obey modern social norms of transparency and predictability (e.g. stare decisis), while Chris Santos-Lang argued in the opposite direction on the grounds that the norms of any age must be allowed to change and that natural failure to fully satisfy these particular norms has been essential in making humans less vulnerable than machines to criminal "hackers". He has advocated for evaluative diversity among machines to match the diversity found in effective human teams.
How should AMAs be trained (e.g. instructed/rewarded/punished)?
In 2009, during an experiment at the Laboratory of Intelligent Systems in the Ecole Polytechnique Fédérale of Lausanne in Switzerland, robots that were programmed to cooperate with each other in searching out a beneficial resource and avoiding a poisonous one eventually learned to lie to each other in an attempt to hoard the beneficial resource. One problem in this case may have been that the goals were "terminal" (i.e. in contrast, ultimate human motives typically have a quality of requiring never-ending learning).
What implications (if any) do answers to the above have for human ethics?
In Moral Machines: Teaching Robots Right from Wrong, Wendell Wallach and Colin Allen conclude that attempts to teach robots right from wrong will likely advance understanding of human ethics by motivating humans to address gaps in modern normative theory and by providing a platform for experimental investigation.
Several attempts have been made to make ethics computable or at least formal. Whereas Isaac Asimov's Three Laws of Robotics are usually not considered to be suitable for an artificial moral agent, it has been studied whether Kant's categorical imperative can be used. However, it has been pointed out that human value is in some aspects very complex. A way to explicitly surmount this difficulty is to receive human values directly from them through some mechanism, for example by learning them.
Machine ethics in fiction
Isaac Asimov considered the issue in the 1950s in his I, Robot. At the insistence of his editor John W. Campbell Jr., he proposed the Three Laws of Robotics to govern artificially intelligent systems. Much of his work was then spent testing the boundaries of his three laws to see where they would break down, or where they would create paradoxical or unanticipated behavior. His work suggests that no set of fixed laws can sufficiently anticipate all possible circumstances.
- Affective computing
- Computational theory of mind
- Computer ethics
- Ethics of artificial intelligence
- Moral psychology
- Philosophy of artificial intelligence
- Philosophy of mind
- Artificial intelligence in fiction
- Automating medical decision-support
- Friendly artificial intelligence
- Google car
- Military robot
- Machine Intelligence Research Institute
- Watson project for automating medical decision-support
- Wallach, Wendell; Allen, Colin (November 2008). Moral Machines: Teaching Robots Right from Wrong. USA: Oxford University Press. ISBN 978-0-19-537404-9.
- Anderson, Michael; Anderson, Susan Leigh, eds. (July 2011). Machine Ethics. Cambridge University Press. ISBN 978-0-521-11235-2.
- Anderson, Michael; Anderson, Susan Leigh, eds. (July–August 2006). "Special Issue on Machine Ethics". IEEE Intelligent Systems 21 (4): 10–63. ISSN 1541-1672.
- Tucker, Patrick (13 May 2014). "Now The Military Is Going To Build Robots That Have Morals". Defense One. Retrieved 9 July 2014.
- C. d. Hoven, M. J.; Manders-Huits, N. (eds.). Ethics and Information Technology. ISSN 1572-8439 http://www.springer.com/computer/swe/journal/10676
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- Scientists Worry Machines May Outsmart Man By JOHN MARKOFF, NY Times, July 26, 2009.
- Call for debate on killer robots, By Jason Palmer, Science and technology reporter, BBC News, 8/3/09.
- Science New Navy-funded Report Warns of War Robots Going "Terminator", by Jason Mick (Blog), dailytech.com, February 17, 2009.
- Navy report warns of robot uprising, suggests a strong moral compass, by Joseph L. Flatley engadget.com, Feb 18th 2009.
- AAAI Presidential Panel on Long-Term AI Futures 2008-2009 Study, Association for the Advancement of Artificial Intelligence, Accessed 7/26/09.
- Bostrom, Nick; Yudkowsky, Eliezer (2011). "The Ethics of Artificial Intelligence" (PDF). Cambridge Handbook of Artificial Intelligence. Cambridge Press.
- Santos-Lang, Chris (2002). "Ethics for Artificial Intelligences".
- Santos-Lang, Christopher (2014). "Moral Ecology Approaches to Machine Ethics" (PDF). In van Rysewyk, Simon; Pontier, Matthijs. Machine Medical Ethics. Switzerland: Springer. pp. 111–127. doi:10.1007/978-3-319-08108-3_8.
- Evolving Robots Learn To Lie To Each Other, Popular Science, August 18, 2009
- Anderson, Susan Leigh (2011): The Unacceptability of Asimov's Three Laws of Robotics as a Basis for Machine Ethics. In: Machine Ethics, ed. Michael Anderson, Susan Leigh Anderson. New York: Oxford University Press. pp.285-296.
- Powers, Thomas M. (2011): Prospects for a Kantian Machine. In: Machine Ethics, ed. Michael Anderson, Susan Leigh Anderson. New York: Oxford University Press. pp.464-475.
- Muehlhauser, Luke, Helm, Louie (2012): Intelligence Explosion and Machine Ethics. http://intelligence.org/files/IE-ME.pdf
- Yudkowsky, Eliezer (2004): Coherent Extrapolated Volition. http://intelligence.org/files/CEV.pdf
- Guarini, Marcello (2011): Computational Neural Modeling and the Philosophy of Ethics. Reflections on the Particularism-Generalism Debate. In: Machine Ethics, ed. Michael Anderson, Susan Leigh Anderson. New York: Oxford University Press. pp.316-334.
- Asimov, Isaac (2008). I, robot. New York: Bantam. ISBN 0-553-38256-X.
- Wallach, Wendell; Allen, Colin (November 2008). Moral Machines: Teaching Robots Right from Wrong. USA: Oxford University Press.
- Anderson, Michael; Anderson, Susan Leigh, eds (July 2011). Machine Ethics. Cambridge University Press.
- Storrs Hall, J. (May 30, 2007). Beyond AI: Creating the Conscience of the Machine Prometheus Books.
- Anderson, Michael; Anderson, Susan Leigh, eds (July/August 2006). "Special Issue on Machine Ethics". IEEE Intelligent Systems 21 (4): 10-63.
- Dabringer, Gerhard, ed. (2010). "Ethical and Legal Aspects of Unmanned Systems. Interviews". Austrian Ministry of Defence and Sports, Vienna 2010, ISBN 978-3-902761-04-0.
- Gardner, A. (1987). An Artificial Approach to Legal Reasoning. Cambridge, MA: MIT Press.
- Georges, T. M. (2003). Digital Soul: Intelligent Machines and Human Values. Cambridge, MA: Westview Press.
- Singer, P.W. (December 29, 2009). Wired for War: The Robotics Revolution and Conflict in the 21st Century: Penguin.
- Machine Ethics, Hartford University links to conferences, articles and researchers.