Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Kenny Peng, Arunesh Mathur, Arvind Narayanan

Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and…