Law Commons^™

Incomprehensible Discrimination, James Grimmelmann, Daniel Westreich

Cornell Law Faculty Publications

The following (fictional) opinion of the (fictional) Zootopia Supreme Court of the (fictional) State of Zootopia is designed to highlight one particularly interesting issue raised by Solon Barocas and Andrew Selbst in Big Data’s Disparate Impact. Their article discusses many ways in which data-intensive algorithmic methods can go wrong when they are used to make employment and other sensitive decisions. Our vignette deals with one in particular: the use of algorithmically derived models that are both predictive of a legitimate goal and have a disparate impact on some individuals. Like Barocas and Selbst, we think it raises fundamental questions about …

Big Data And The Americans With Disabilities Act: Amending The Law To Cover Discrimination Based On Data-Driven Predictions Of Future Illnesses, Sharona Hoffman

Faculty Publications

While big data holds great promise to improve the human condition, it also creates new and previously unimaginable opportunities for discrimination. Employers, financial institutions, marketers, educational institutions, and others can now easily obtain a wealth of big data about individuals’ health status and use it to make adverse decisions relating to data subjects.

The Americans with Disabilities Act (ADA) is a federal law that prohibits employers and other public and private entities from discriminating against individuals because of their disabilities. This chapter argues that in the era of big data, the ADA does not go far enough. While the ADA …

Big Data And The Americans With Disabilities Act, Sharona Hoffman

Faculty Publications

While big data offers society many potential benefits, it also comes with serious risks. This Essay focuses on the concern that big data will lead to increased employment discrimination. It develops the novel argument that the Americans with Disabilities Act (ADA) should be amended in response to the big data phenomenon in order to protect individuals who are perceived as likely to develop physical or mental impairments in the future. Employers can obtain medical data about employees not only through the traditional means of medical examinations and inquiries, but also through the non-traditional mechanisms of social media, wellness programs, and …

The Shifting Sands Of Employment Discrimination: From Unjustified Impact To Disparate Treatment In Pregnancy And Pay, Deborah L. Brake

Articles

In 2015, the Supreme Court decided its first major pregnancy discrimination case in nearly a quarter century. The Court’s decision in Young v. United Parcel Service, Inc., made a startling move: despite over four decades of Supreme Court case law roping off disparate treatment and disparate impact into discrete and separate categories, the Court crafted a pregnancy discrimination claim that permits an unjustified impact on pregnant workers to support the inference of discriminatory intent necessary to prevail on a disparate treatment claim. The decision cuts against the grain of established employment discrimination law by blurring the impact/treatment boundary and …