An optimizable scalar objective value cannot be objective and should not be the sole objective
Abstract
This paper concerns the ethics and morality of algorithms and computational systems, and has been circulating internally at Facebook for the past couple years. The paper reviews many Nobel laureates' work, as well as the work of other prominent scientists such as Richard Dawkins, Andrei Kolmogorov, Vilfredo Pareto, and John von Neumann. The paper draws conclusions based on such works, as summarized in the title. The paper argues that the standard approach to modern machine learning and artificial intelligence is bound to be biased and unfair, and that longstanding traditions in the professions of law, justice, politics, and medicine should help.
- Publication:
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arXiv e-prints
- Pub Date:
- June 2020
- DOI:
- 10.48550/arXiv.2006.02577
- arXiv:
- arXiv:2006.02577
- Bibcode:
- 2020arXiv200602577K
- Keywords:
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- Computer Science - Computers and Society;
- Computer Science - Artificial Intelligence;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Systems and Control;
- Mathematics - Optimization and Control
- E-Print:
- 13 pages