Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended ↗
Tianqi Kou, Cindy Lin, D Calacci
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Critical analysis of surveillance technologies and AI hype, evaluating the risks and failures of AI in high-stakes settings like law enforcement
Police departments across the US are increasingly using AI tools for surveillance and automation of police work, such as filing police reports from body cam footage. We are working to evaluate the risks and failures of using AI in high-risk scenarios like law enforcement.


We are using a corpus of hundreds of articles and press releases about AI use in law enforcement automation and surveillance as a case example to theorize and empirically examine how AI 'hype' spreads


Tianqi Kou, Cindy Lin, D Calacci
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Shomik Jain, D Calacci, Ashia Wilson
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Dana presented WAO research at the HotPETS workshop on measuring risks in digital economies using crowdsourced US consumer data.

Coverage of Shomik Jain's (MIT IDSS) research on norm inconsistency in AI decision-making and its implications for surveillance and policing.

