Impact of Data and AI on Workers: Challenges and Recommendations
Explore the implications of data and AI on workers in terms of monitoring, surveillance, bias, discrimination, and access to opportunities. Understand the limitations of the current laws and ways to move forward responsibly, considering unintended consequences and empowering workers.
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Presentation Transcript
Data and AI: The Impact on Workers Pauline T. Kim Daniel Noyes Kirby Professor of Law
Data and AI: Impact on Workers Monitoring and Surveillance Bias and Discrimination Unequal Access to Opportunities
Monitoring and Surveillance Image from Boston Globe
Monitoring and Surveillance Limitations of the Law: Employee privacy protections are limited Sensitive information can be inferred Consent may be a defense
Bias and Discrimination Limitations of the Law: Proxies exist for protected characteristics Identifying bias requires access to data Evaluating employer justifications is difficult with AI
New Intermediaries / Unequal Access Targeted Audience Recipients Ad Targeting Algorithm
New Intermediaries / Unequal Access Limitations of the Law: Uncertain liability for intermediary discrimination Platforms claim immunity under CDA section 230
Moving Forward Beware unintended consequences and premature safe harbors Create transparency Permit research / facilitate auditing Diversify tech industry Empower workers re: impact of tech
