From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices

Science and Engineering Ethics 26 (4):2141-2168 (2020)
  Copy   BIBTEX

Abstract

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs.

Similar books and articles

Catholic Social Teaching as a Framework for Research Ethics.Alan J. Kearns - 2014 - Journal of Academic Ethics 12 (2):145-159.
Empirical research on ethical issues in pediatric research.Joan E. Sieber - 2008 - Ethics and Behavior 18 (2-3):127 – 138.
The principles and practices of Peer review.Ronald N. Kostoff - 1997 - Science and Engineering Ethics 3 (1):19-34.
A Proposal for Thinking Strategically About Ethics Education.Camille Nebeker - 2014 - Journal of Philosophy, Science and Law 14:32-46.
Statistics and ethics in medical research.David L. DeMets - 1999 - Science and Engineering Ethics 5 (1):97-117.

Analytics

Added to PP
2019-12-12

Downloads
580 (#29,071)

6 months
195 (#12,887)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Luciano Floridi
Yale University
Jessica Morley
Oxford University