The dangers of faulty, biased, or malicious algorithms requires independent oversight
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Record details
Published: 23 November 2016
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Biotech
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (23 November 2016), “The dangers of faulty, biased, or malicious algorithms requires independent oversight,” evidence record 8033, https://ethics.ai/record/8033 (originally published by OpenAlex).
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