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Bias In, Bias Out, Sandra G. Mason
Bias In, Bias Out, Sandra G. Mason
AI-DR Collection
Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impact. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race, (2) adjustments to algorithmic design to equalize predictions across racial lines, and (3) rejection of algorithmic methods altogether.
This Article’s central claim is that these strategies are at best superficial and at worst counterproductive, because the source of racial inequality in risk assessment lies …
Opioids And Converging Interests, Mary Crossley
Opioids And Converging Interests, Mary Crossley
Articles
Written as part of Seton Hall Law Review’s Symposium on “Race and the Opioid Crisis: History and Lessons,” this Essay considers whether applying the lens of Professor Derrick Bell’s interest convergence theory to the opioid crisis offers some hope of advancing racial justice. After describing Bell’s interest convergence thesis and identifying racial justice interests that African Americans have related to the opioid crisis, I consider whether these interests might converge with white interests to produce real racial progress. Taken at face value, white politicians’ statements of compassion toward opioid users might signal a public health-oriented approach to addiction, representing …