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Civil Rights and Discrimination

Selected Works

2019

Equal protection

Articles 1 - 2 of 2

Full-Text Articles in Law

What Can Brown Do For You?: Addressing Mccleskey V. Kemp As A Flawed Standard For Measuring The Constitutionally Significant Risk Of Race Bias Aug 2019

What Can Brown Do For You?: Addressing Mccleskey V. Kemp As A Flawed Standard For Measuring The Constitutionally Significant Risk Of Race Bias

Erwin Chemerinsky

This Essay asserts that in McCleskey v. Kemp, the Supreme Court created a problematic standard for the evidence of race bias necessary to uphold an equal protection claim under the Fourteenth Amendment of the U.S. Constitution. First, the Court’s opinion reinforced the cramped understanding that constitutional claims require evidence of not only disparate impact but also discriminatory purpose, producing significant negative consequences for the operation of the U.S. criminal justice system. Second, the Court rejected the Baldus study’s findings of statistically significant correlations between the races of the perpetrators and victims and the imposition of the death …


Algorithmic Risk Assessments And The Double-Edged Sword Of Youth, Megan T. Stevenson, Christopher Slobogin Mar 2019

Algorithmic Risk Assessments And The Double-Edged Sword Of Youth, Megan T. Stevenson, Christopher Slobogin

Christopher Slobogin

Risk assessment algorithms—statistical formulas that predict the likelihood a person will commit crime in the future—are used across the country to help make life-altering decisions in the criminal process, including setting bail, determining sentences, selecting probation conditions, and deciding parole. Yet many of these instruments are “black-box” tools. The algorithms they use are secret, both to the sentencing authorities who rely on them and to the offender whose life is affected. The opaque nature of these tools raises numerous legal and ethical concerns. In this paper we argue that risk assessment algorithms obfuscate how certain factors, usually considered mitigating by …