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Articles 1 - 3 of 3
Full-Text Articles in Privacy Law
Race And Regulation Podcast Episode 5 - Racial Equity And Data Privacy, Anita L. Allen
Race And Regulation Podcast Episode 5 - Racial Equity And Data Privacy, Anita L. Allen
Penn Program on Regulation Podcasts
In this episode, Anita Allen, an internationally renowned expert on the philosophical dimensions of privacy and data protection law, reveals how race-neutral privacy laws in the U.S. have failed to address the unequal burdens faced online by Black Americans, whose personal data are used in racially discriminatory ways. Professor Allen articulates what she terms an African American Online Equity Agenda to guide the development of race-conscious privacy regulations that can better promote racial justice in the modern digital economy.
Dismantling The “Black Opticon”: Privacy, Race Equity, And Online Data-Protection Reform, Anita L. Allen
Dismantling The “Black Opticon”: Privacy, Race Equity, And Online Data-Protection Reform, Anita L. Allen
All Faculty Scholarship
African Americans online face three distinguishable but related categories of vulnerability to bias and discrimination that I dub the “Black Opticon”: discriminatory oversurveillance, discriminatory exclusion, and discriminatory predation. Escaping the Black Opticon is unlikely without acknowledgement of privacy’s unequal distribution and privacy law’s outmoded and unduly race-neutral façade. African Americans could benefit from race-conscious efforts to shape a more equitable digital public sphere through improved laws and legal institutions. This Essay critically elaborates the Black Opticon triad and considers whether the Virginia Consumer Data Protection Act (2021), the federal Data Protection Act (2021), and new resources for the Federal Trade …
Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen
Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen
All Faculty Scholarship
Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply …