Comment to Federal Trade Commission on Commercial Surveillance
Name
FTC Comment.pdf
Size
265.98 KB
Format
Adobe PDF
Checksum (MD5)
a730ffd8e089ebab5482951ffd91a52b
Author(s)
Berke, Alex
Calacci, Dana
Mahari, Robert
Date Issued
December 1, 2022
Publisher
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.
Abstract
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.
Subjects
Commercial Surveillance
Consumer Data Rights
Data Aggregation for Research
Algorithmic Bias
MIT Department
MIT Connection Science (Research institute)
Terms of Use
Attribution-NonCommercial-ShareAlike 3.0 United States
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