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Brief Of Brian Wolfman, Aderson B. Francois, And Eric Schnapper As Amici Curiae In Support Of Petitioner In Peterson V. Linear Controls Incorporated, No. 18-1401 (U.S. Supreme Court June 6, 2019), Brian Wolfman, Aderson B. François
Brief Of Brian Wolfman, Aderson B. Francois, And Eric Schnapper As Amici Curiae In Support Of Petitioner In Peterson V. Linear Controls Incorporated, No. 18-1401 (U.S. Supreme Court June 6, 2019), Brian Wolfman, Aderson B. François
U.S. Supreme Court Briefs
In Title VII disparate-treatment, employment-discrimination cases, the term “adverse employment action” originally developed as judicial shorthand for the statute’s text, which broadly prohibits any discriminatory conduct by an employer against an employee based on the employee's race, color, religion, sex, or national origin. See 42 U.S.C. 2000e-2(a)(1). But what started simply as shorthand has taken on a life of its own and now improperly limits the statute’s reach. The Fifth Circuit’s version of the adverse-employment-action rule stands out as especially improper: Only an “ultimate employment decision”—a refusal to hire, a firing, a demotion, or the like—constitutes impermissible discrimination.
In this …
Antidiscriminatory Algorithms, Stephanie Bornstein
Antidiscriminatory Algorithms, Stephanie Bornstein
UF Law Faculty Publications
Can algorithms be used to advance equality goals in the workplace? A handful of legal scholars have raised concerns that the use of big data at work may lead to protected class discrimination that could fall outside the reach of current antidiscrimination law. Existing scholarship suggests that, because algorithms are “facially neutral,” they pose no problem of unequal treatment. As a result, algorithmic discrimination cannot be challenged using a disparate treatment theory of liability under Title VII of the Civil Rights Act of 1964 (Title VII). Instead, it presents a problem of unequal outcomes, subject to challenge using Title VII’s …