Law Commons^™

Disparate Impact Under The Adea: Applicants Need Not Apply, L. Whitney Woodward

Georgia State University Law Review

Part I of this Note addresses the current debate on this topic, illustrated through case law in the Eleventh Circuit, the Seventh Circuit, and a recent federal district court ruling in the Ninth Circuit. Part II analyzes the unambiguous, textual differences between the various subsections of the ADEA as well as the textual differences between Title VII and the ADEA. This Note explores these textual arguments through an analysis of the statutes and interpretative case law and concludes that, as drafted, the disparate impact theory of age discrimination should not be available to non- employee job applicants. Part III illustrates …

Pregnancy As A Normal Condition Of Employment: Comparative And Role-Based Accounts Of Discrimination, Reva B. Siegel

William & Mary Law Review

As the Pregnancy Discrimination Act of 1978 (PDA) turns forty, it is time to consider how we define pregnancy discrimination.

In recent years, courts have come to define pregnancy discrimination almost exclusively through comparison. Yet our understanding of discrimination, inside and outside the pregnancy context, depends on judgments about social roles as well as comparison. Both Congress and the Court appealed to social roles in defining the wrongs of pregnancy discrimination. In enacting the PDA, Congress repudiated employment practices premised on the view that motherhood is the end of women’s labor force participation, and affirmed a world in which women …

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 …

The Dismantling Of Mcdonnell Douglas V. Green: The High Court Muddies The Evidentiary Waters In Circumstantial Discrimination Cases, Melissa A. Essary

Pepperdine Law Review

No abstract provided.

Disparate Impact Realism, Amy L. Wax

William & Mary Law Review

No abstract provided.