A century-long commitment to assessing artificial intelligence and its impact on society

Abstract

A series of reports promises the general public a technologically accurate view of the state of AI and its societal implications.

References

1. Angwin, J. et al. Machine bias: There's software used across the country to predict future criminals. And it's biased against blacks. ProPublica (May 23, 2016); https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
2. Association for the Advancement of Artificial Intelligence. AAAI Workshop on AI and OR {Operations Research} for Social Good (San Francisco, CA, Feb. 2017); https://www.aaai.org/Library/Workshops/ws17-01.php
3. Computing Community Consortium Workshop on AI and Social Good (Washington, D.C., June 7, 2016); https://cra.org/ccc/events/ai-social-good/
4. Felten, E. and Lyons, T. The Administration's Report on the Future of Artificial Intelligence. The White House, Oct. 12, 2016; https://obamawhitehouse.archives.gov/blog/2016/10/12/administrations-report-future-artificial-intelligence
5. Moor, J.H. What is computer ethics? Metaphilosophy 16, 4 (Mar. 1985), 266--275.
6. Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-Brown, K., Parkes, D., Press, W., Saxenian, A., Shah, J., Tambe, M., and Teller A. Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence (A100): Report of the 2015--2016 Study Panel. Stanford University, Stanford, CA, Sept. 2016; http://ai100.stanford.edu/2016-report

Index Terms

• Applied computing

  • Computers in other domains

• Computing methodologies

  • Machine learning

• Social and professional topics

  • Computing / technology policy