Law | Open Access Articles | Digital Commons Network™

Data-Driven Discrimination At Work, Pauline T. Kim

William & Mary Law Review

A data revolution is transforming the workplace. Employers are increasingly relying on algorithms to decide who gets interviewed, hired, or promoted. Although data algorithms can help to avoid biased human decision-making, they also risk introducing new sources of bias. Algorithms built on inaccurate, biased, or unrepresentative data can produce outcomes biased along lines of race, sex, or other protected characteristics. Data mining techniques may cause employment decisions to be based on correlations rather than causal relationships; they may obscure the basis on which employment decisions are made; and they may further exacerbate inequality because error detection is limited and feedback …

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Mitigating The Impact Of Title Vii's New Retaliation Standard: The Americans With Disabilities Act After University Of Texas Southwestern Medical Center V. Nassar, August T. Johannsen

William & Mary Law Review

No abstract provided.

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Discrimination And Outrage: The Migration From Civil Rights To Tort Law, Martha Chamallas

William & Mary Law Review

It is not always appreciated that proven discrimination on the basis of race or sex may not amount to a tort and that even persistent racial or sexual harassment may not be enough to qualify for tort recovery. This Article explores the question of whether discriminatory and harassing conduct in the workplace is or should be considered outrageous conduct, actionable under the tort of intentional infliction of emotional distress. In recent years, courts have taken radically different approaches to the issue, from holding that such claims are preempted to treating the infliction tort as a reinforcement of civil rights principles. …

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