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Full-Text Articles in Privacy Law
Check Yes For Checkpoints: Suspicionless Stops And Ramifications For Missouri Motorists, Conner Harris
Check Yes For Checkpoints: Suspicionless Stops And Ramifications For Missouri Motorists, Conner Harris
Missouri Law Review
One of the great advantages of living in a free society is the enjoyment of general privacy and freedom from unwarranted interference in one’s personal affairs. This advantage benefits citizens in both their private and public interactions. For example, it is expected one could drive to the store across town, the mall in a neighboring city, or somewhere on the other side of the country uninterrupted and unhindered. The Fourth Amendment to the United States Constitution codifies this privacy expectation as a right to be enjoyed by all within its reach. Specifically, the Fourth Amendment protects against “unreasonable searches and …
The Criminal Justice Black Box, Samuel R. Wiseman
The Criminal Justice Black Box, Samuel R. Wiseman
Scholarly Publications
"Big data "-- the collection and statistical analysis of numerous digital data points -- has transformed the commercial and policy realms, changing firms' understanding of consumer behavior and improving problems ranging from traffic congestion to drug interactions. In the criminal justice field, police now use data from widely dispersed monitoring equipment, crime databases, and statistical analysis to predict where and when crimes will occur, and police body cameras have the potential to both provide key evidence and reduce misconduct. But in many jurisdictions, digital access to basic criminal court records remains surprisingly limited, and, in contrast to the civil context, …
Privacy, Poverty, And Big Data: A Matrix Of Vulnerabilities For Poor Americans, Mary Madden, Michele E. Gilman, Karen Levy, Alice Marwick
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 …