Privacy Law Commons^™

Policing For Profit: A Constitutional Analysis Of Washington State’S Civil Forfeiture Laws, Julia Doherty

Seattle University Law Review

The summer of 2020 reignited a conversation about the relationship between race and policing in the United States. While many have taken the opportunity to scrutinize the racially discriminate components of our criminal justice system, comparable aspects of civil law must be equally scrutinized. A particular area of concern pertains to racially biased policing and the concept of “policing for profits” with Black, Indigenous, and people of color communities (BIPOC), which is accomplished mainly through civil asset forfeiture at a state and federal level.

The Exclusionary Rule In The Age Of Blue Data, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

In Herring v. United States, Chief Justice John Roberts reframed the Supreme Court’s understanding of the exclusionary rule: “As laid out in our cases, the exclusionary rule serves to deter deliberate, reckless, or grossly negligent conduct, or in some circumstances recurring or systemic negligence.” The open question remains: how can defendants demonstrate sufficient recurring or systemic negligence to warrant exclusion? The Supreme Court has never answered the question, although the absence of systemic or recurring problems has figured prominently in two recent exclusionary rule decisions. Without the ability to document recurring failures, or patterns of police misconduct, courts can dismiss …

The Left's Law-And-Order Agenda, Aya Gruber

Publications

No abstract provided.

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 …