Privacy Law Commons^™

"Slack" In The Data Age, Shu-Yi Oei, Diane M. Ring

Faculty Scholarship

This Article examines how increasingly ubiquitous data and information affect the role of “slack” in the law. Slack is the informal latitude to break the law without sanction. Pockets of slack exist for various reasons, including information imperfections, enforcement resource constraints, deliberate nonenforcement of problematic laws, politics, biases, and luck. Slack is important in allowing flexibility and forbearance in the legal system, but it also risks enabling selective and uneven enforcement. Increasingly available data is now upending slack, causing it to contract and exacerbating the risks of unfair enforcement.

This Article delineates the various contexts in which slack arises and …

Bulk Biometric Metadata Collection, Margaret Hu

Scholarly Articles

Smart police body cameras and smart glasses worn by law enforcement increasingly reflect state-of-the-art surveillance technology, such as the integration of live-streaming video with facial recognition and artificial intelligence tools, including automated analytics. This Article explores how these emerging cybersurveillance technologies risk the potential for bulk biometric metadata collection. Such collection is likely to fall outside the scope of the types of bulk metadata collection protections regulated by the USA FREEDOM Act of 2015. The USA FREEDOM Act was intended to bring the practice of bulk telephony metadata collection conducted by the National Security Agency (“NSA”) under tighter regulation. In …

Fourth Amendment Anxiety, Stephen E. Henderson, Kiel Brennan-Marquez

Stephen E Henderson

Privacy, Poverty, And Big Data: A Matrix Of Vulnerabilities For Poor Americans, Mary Madden, Michele E. Gilman, Karen Levy, Alice Marwick

All Faculty Scholarship

This Article examines the matrix of vulnerabilities that low-income people face as a result of the collection and aggregation of big data and the application of predictive analytics. On one hand, big data systems could reverse growing economic inequality by expanding access to opportunities for low-income people. On the other hand, big data could widen economic gaps by making it possible to prey on low-income people or to exclude them from opportunities due to biases entrenched in algorithmic decision-making tools. New kinds of “networked privacy” harms, in which users are simultaneously held liable for their own behavior and the actions …