Strategies

Identify priorities and develop standards for the governance of AI research

# RecommendationsThe IEEE and other standards-setting bodies should draw upon existing standards, empirical research, and expertise to identify prioritiesand develop standards for the governance ofA/IS research and partner with relevant national agencies, and international organizations,when possible.

## Further Resources

S. R. Jordan, “The Innovation Imperative.” _Public Management Review _16, no. 1,pp. 67–89,
B. Schneiderman, “[The Dangers of Faulty, Biased, or Malicious Algorithms Requires Independent Oversight.](http://www.pnas.org/content/113/48/
long)” _Proceedings of the National Academy of Sciences of the United States of America _113, no. 48, 13538–13540,
J. Metcalf and K. Crawford, “Where are Human Subjects in Big Data Research? The Emerging Ethics Divide.” Big Data & Society, May 14,
_ _[Online]. Available: SSRN: https://ssrn. com/abstract=2779647. [Accessed Nov. 1, 2018].
R. Calo, “Consumer Subject Review Boards: A Thought Experiment.” _Stanford Law Review Online _66 97, Sept.

Challenge Instances Work involving commercial actors may be driven by commercial interests over scientific rigour impacting both the conduct of evaluation and validity of claims made regarding system efficacy There may be gaps in adequacy of institutional ethics review committees to provide oversight of AI research

Sources IEEE

Created At 2023-06-05T10:23:45.000Z

Title Identify priorities and develop standards for the governance of AI research