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An Analysis of Machine Ethics from the Perspective of Autonomy

Chapter
Part of the Philosophical Studies Series book series (PSSP, volume 128)

Abstract

Machine ethics has been proposed as a new discipline at the intersection of ethics and computer science, aimed at investigating computational models of ethical principles to be embedded into the autonomous software and robotic systems to come. This work provides a view on the current research on autonomous systems and aims to show that classic ethics guiding human researchers is what is really needed.

Keywords

Autonomy Machine ethics Artificial intelligence Planning Simulation Robotic systems 

References

  1. Adee, S. (2010). Cat-brain fever. IEEE Spectrum, 47(1), 16–17.CrossRefGoogle Scholar
  2. Anderson, M., & Anderson, S. L. (Eds.). (2006). IEEE Intelligent Systems: Machine Ethics, 21(4).Google Scholar
  3. Anderson, M., & Anderson, S. L. (2007). Machine ethics: Creating an ethical intelligent agent. AI Magazine, 28(4), 15–26.Google Scholar
  4. Anderson, M., Anderson, S. L., & Armen, C. (2006). An approach to computing ethics. IEEE Intelligent Systems, 21(4), 56–63.CrossRefGoogle Scholar
  5. Andreopoulos, A., Taba, B., Cassidy, A. S., Alvarez-Icaza, R., Flickner, M. D., Risk, W. P., Amir, A., Merolla, P. A., Arthur, J. V., Berg, D. J., Kusnitz, J. A., Datta, P., Esser, S. K., Appuswamy, R., Barch, D. R., & Modha, D. S. (2015). Visual saliency on networks of neurosynaptic cores. IBM Journal of Research and Development, 59(2/3), 1–16.CrossRefGoogle Scholar
  6. ANSI/RIA. (2013). R15.06-2012 American National Standard for Industrial Robots and Robot Systems—Safety Requirements. Technical report, Robotic Industries Association.Google Scholar
  7. Arkin, R. (2008). Governing lethal behavior: Embedding ethics in a hybrid deliberative/reactive robot architecture. Technical Report GIT-GVU-07-11, Georgia Institute of Technology.Google Scholar
  8. Asimov, I. (1950). I, Robot. New York: Gnome Press.Google Scholar
  9. Balaguer, M. (2012). Free will as an open scientific problem. Cambridge: A Bradford Book.Google Scholar
  10. Barber, K. S., & Martin, C. E. (1999). Agent autonomy: Specification, measurement, and dynamic adjustment. In Proceedings of the Autonomy Control Software Workshop, Agents’99 (pp. 8–15).Google Scholar
  11. Bongard, J., Zykov, V., & Lipson, H. (2006). Resilient machines through continuous self-modeling. Science, 314, 1118–1121.CrossRefGoogle Scholar
  12. Cameron, J. (1984). The terminator. Beverly Hills: Metro-Goldwyn-Mayer.Google Scholar
  13. Clarke, A. C. (1968). 2001 A space odyssey. New York: Signet Books.Google Scholar
  14. Dreyfus, H. L. (1992). What computers still can’t do. Cambridge: The MIT Press.Google Scholar
  15. Folsom, T. C. (2012). Energy and autonomous urban land vehicles. IEEE Technology and Society Magazine, 31(2), 28–38.CrossRefGoogle Scholar
  16. Frazzoli, E., Dahleh, M. A., & Feron, E. (2002). Real-time motion planning for agile autonomous vehicles. Journal of Guidance, Control, and Dynamics, 25(1), 116–129.CrossRefGoogle Scholar
  17. Hartree, D. R. (1984). Calculating instruments and machines. Cambridge: The MIT Press. Reprint of the 1949 edition.Google Scholar
  18. Hsu, J. (2014). IBM’s new brain. IEEE Spectrum, 51(10), 17–19.CrossRefGoogle Scholar
  19. Joy, B. (2000). Why the future doesn’t need us. Wired 8(4), available at www.wired.com/2000/04/joy-2/.
  20. Kavraki, L. E., Švestka, P., Latombe, J.-C., & Overmars, M. H. (1996). Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 12(4), 566–580.CrossRefGoogle Scholar
  21. Kawamura, K., Noelle D. C., Hambuchen, K. A., Rogers, T. E., & Turkay, E. (2003). A multi-agent approach to self-reflection for cognitive robotics. In Proceedings of ICAR 2003 the 11th International Conference on Advanced Robotics (pp. 568–575).Google Scholar
  22. Kumagai, J. (2007). A robotic sentry for Korea’s demilitarized zone. IEEE Spectrum, 44(3), 16–17.CrossRefGoogle Scholar
  23. Maes, P. (1994). Modeling adaptive autonomous agents. Artificial Life Journal, 1(1–2), 135–162.Google Scholar
  24. McKee, M. (2011). The rover’s return: Curiosity and Mars. The New Scientist, 212(2838), 42–45.CrossRefGoogle Scholar
  25. Mims, C. (2011). A chip that thinks like a brain. Scientific American, 305(6), 43–43.CrossRefGoogle Scholar
  26. Pensore, R. (1996). Shadows of the mind. Oxford: Oxford University Press.Google Scholar
  27. Searle, J. R. (2007). Freedom and neurobiology: Reflections on free will, language and political power. New York: Columbia University Press.Google Scholar
  28. Sterritt, R., & Hinchey, M. G. (2004). Apoptosis and self-destruct: A contribution to autonomic agents? In FAABS’04 Proceedings of the Third International Conference on Formal Approaches to Agent-Based Systems (pp. 262–270).Google Scholar
  29. Thomson, J. J. (1976). Killing, letting die, and the trolley problem. The Monist, 59, 204–217.CrossRefGoogle Scholar
  30. Turing, A. M. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460.CrossRefGoogle Scholar
  31. Urmson, C. (2014). Progress in self-driving vehicles. In Frontiers of Engineering—Reports on Leading-Edge Engineering from the 2014 Symposium (pp. 5–10). Washington, DC: The National Academies Press.Google Scholar
  32. Wooldridge, M., & Jennings N. R. (1995). Agent theories, architectures, and languages: A survey. In M. Wooldridge & N. R. Jennings (Eds.), Intelligent agents (pp. 1–22). Berlin: Springer.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Media, Culture and SocietyUniversity of the West of ScotlandAyrUK

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