Abstract
The participation of AI in society is expected to increase significantly, and with that the scope, intensity and significance of morally-burdened effects produced or otherwise related to AI, and the possible future advent of AGI. There is a lack of a comprehensive ethical framework for AI and AGI, which can help manage moral scenarios in which artificial entities are participants. Therefore, I propose the foundations of such a framework in this text, and suggest that it can enable artificial entities to make morally sound decisions in complex moral scenarios.
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- 1.
Namely, in the moral landscape, agents are those that take actions and thus cause morally-burdened effects; while moral patients are those entities which morally-burdened effects are effected/caused to.
- 2.
Under resources here are understood all parts of the world which a system can use instrumentally to pursue its imperatives i.e. both ‘traditional’ ones such as raw materials, energy source(s), food, water, minerals etc. but also time, situations, rules, other systems and their parts, and anything else of utility.
References
Anderson, M., Anderson, S.L.: Machine ethics: creating an ethical intelligent agent, AI Magazine 28(4), 15–26 (2007). American Association for Artificial Intelligence
Anderson, S.L., Anderson, M.: How Machines Can Advance Ethics, Philosophy Now (2009)
Chopra, S., White, L.F.: A Legal Theory for Autonomous Artificial Agents. University of Michigan, Ann Arbor (2011)
Danaher, J.: The threat of algocracy: reality. Resistance and Acommodation. Philosophy and Technology 29, 245–268 (2016)
Dodig Crnkovic, S., Çürüklü, B.: Robots: ethical by design. Ethics Inf. Technol. 14, 61–71 (2012)
Floridi, L. (ed.): The Blackwell Guide to the Philosophy of Computing and Information. Blackwell Publishing, Hoboken (2004)
Floridi, L.: The Ethics of Information. Oxford University Press, Oxford (2013)
Floridi, L., Sanders, J.W.: On the morality of artificial agents. Minds Mach. 14, 349–379 (2004)
Floridi, L., Savulescu, J.: Information ethics: agents, artefacts and new cultural perspectives. Ethics Inf. Technol. 8, 155–156 (2006)
Floridi, L., Taddeo, M.: What is Data Ethics. Philosophical Transactions of the Royal Society A 374(2083) (2016). Preprint
Gerdes, A., Øhrstrøm, P.: Issues in robot ethics seen through the lens of a moral turing test. J. Inf. Commun. Ethics Soc. 13(2), 98–109 (2015). Emerald Group Publishing Limited
Gunkel, D.J.: A vindication of the rights of machines. Philos. Technol. 27, 113–132 (2014)
Kurzweil, R.E.: The Age of Spiritual Machines: When Computers Exceed Human Intelligence. Penguin Books, London (2000)
Lin, P., Abney, K., Bekey, G.A. (eds.): Robot Ethics: The Ethical and Social Implications of Robotics. The MIT Press, Cambridge (2012)
MacDorman, K.F., Cowley, S.J.: Long-term relationships as a benchmark for robot personhood. In: The 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK (2006)
Mittelstadt, B.D., Allo, P., Taddeo, M., Wachter, S., Floridi, L.: The ethics of algorithms: mapping the debate. Big Data Soc. 3(2), 1–21 (2016)
Reader, S.: Needs and Moral Necessity, Routledge (Taylor and Francis Group). Taylor and Francis e-Library, Abingdon (2007)
Smith, A., Anderson, J.: AI, Robotics, and the Future of Jobs, Pew Research Center (2014). http://www.pewinternet.org/2014/08/06/future-of-jobs/
Taddeo, M.: The moral value of information and information ethics. In: Floridi, L. (ed.) The Routledge Handbook of Philosophy of Information. Routledge (2017)
Tiles, J.E.: Moral Measures: An Introduction to Ethics East and West, Routledge (Taylor and Francis Group). Taylor and Francis e-Library, Abingdon (2005)
Tzafestas, S.G.: Roboethics: A Navigating Overview. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-21714-7
Veruggio, G.: EURON Roboethics Roadmap (2007). http://www.roboethics.org/index_file/Roboethics%20Roadmap%20Rel.1.2.pdf
Yudkowski, E.: AI as a positive and negative factor in global risk. In: Bostrom, N., Cirkovic, M.M. (eds.) Global Catastrophic Risks, pp. 308–345. Oxford University Press, Oxford (2008)
Zimmerman, M.J.: Living with Uncertainty: The Moral Significance of Ignorance. Cambridge University Press, Cambridge (2008)
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Dameski, A. (2018). A Comprehensive Ethical Framework for AI Entities: Foundations. In: Iklé, M., Franz, A., Rzepka, R., Goertzel, B. (eds) Artificial General Intelligence. AGI 2018. Lecture Notes in Computer Science(), vol 10999. Springer, Cham. https://doi.org/10.1007/978-3-319-97676-1_5
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