Comment to Federal Trade Commission on Commercial Surveillance
Author(s)
Berke, Alex; Calacci, Dana; Mahari, Robert
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In this comment, we urge the FTC to consider rulemaking that empowers consumers to pool and share their data responsibly to help researchers uncover harms such as anti-competitive practices, privacy violations, and algorithmic bias. A large aggregate dataset combined with audit tools would enable the identification of systemic issues otherwise hidden by current corporate practices.
Date issued
2022-12-01Publisher
Federal Trade Comission
Citation
Alex Berke, Dana Calacci, and Robert Mahari. 2022. Comment in response to proposed FTC Trade Regulation Rule on Commercial Surveillance and Data Security: Commercial Surveillance ANPR R111004.
Keywords
Commercial Surveillance, Consumer Data Rights, Data Aggregation for Research, Algorithmic Bias
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