Google Eyes and Big Brother Lies: Data, Privacy and Algorithmic Justice
Part of the UBalt Law in Focus Discussion Series
We live under constant government and corporate surveillance, usually without our consent. Our personal data is being gathered, analyzed and sold at all hours of the day and night as we turn on our computers, tap on our smartphones, and move through public spaces. Our digital profiles serve as gatekeepers to life's necessities, determining how much we pay for credit, where we can live, and whether we will be arrested by the police.
These dynamics of automated decision-making are particularly harmful to marginalized communities. With a new presidential administration, there are new opportunities for passing laws to protect our data privacy and ensure algorithmic accountability. Will 2021 be the year in which Americans take control over our data privacy?
On March 9, 2021, our panel of experts in data and technology discussed developments in data privacy and the fight for digital justice. The panel included University of Baltimore Law Venable Prof. Michele E. Gilman , who recently completed a fellowship with Data & Society; Mutale Nkonde , founding CEO of AI for the People and a fellow at the Berkman Klein Center for Internet and Society at Harvard University; and Matthew Stubenberg , associate director of legal technology in the Access to Justice Lab at Harvard Law School, and an adjunct professor at UBalt School of Law. UBalt Law Prof. Colin Starger , director of its Legal Data & Design Clinic, moderated the discussion.
Venable Professor of Law, University of Baltimore School of Law
Founding CEO, AI for the People, and Fellow, Harvard University Berkman Klein Center for Internet and Society
Assoc. Director of Legal Technology, Harvard Law School Access to Justice Lab
Professor and Director, University of Baltimore School of Law Legal Data & Design Clinic
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