Law Commons^™

Bias In, Bias Out, Sandra G. Mayson

Scholarly Works

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impact. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race, (2) adjustments to algorithmic design to equalize predictions across racial lines, and (3) rejection of algorithmic methods altogether.

This Article’s central claim is that these strategies are at best superficial and at worst counterproductive, because the source of racial inequality in risk assessment lies …

Healthism In Tort Law, Elizabeth Weeks

Scholarly Works

This article draws on the author's recently published book, Healthism: Health Status Discrimination and the Law (with Jessica L. Roberts) (Cambridge University Press 2018), examining tort law doctrine and policy for examples of differential treatment of health status or behaviors. Just as scholars previously have drawn attention to discrimination based on race, sex, age, and other protected categories in tort law, the article urges similar examination of tort law's potential to discriminate against the unhealthy. The article discusses the potential for healthism in the reasonably prudent person standard of care, contributory negligence, assumption of the risk, noneconomic damages caps, impaired …

A Homestead Act For The 21st Century, Mehrsa Baradaran

Scholarly Works

The goal of the 21st century Homestead Act is to counteract the longstanding legacy of racially discriminatory housing policies by revitalizing distressed communities through public investment. The basic structure of the program is a wholesale transfer of land to residents who meet certain criteria. Accompanied by a holistic plan at the city level to revitalize the community through public investments in infrastructure and jobs, this proposal would benefit people who live in select small and medium-sized cities that are experiencing high vacancies.

Pricing Algorithms & Collusion, Maurice Stucke

Scholarly Works

No abstract provided.

Gina, Big Data, And The Future Of Employee Privacy, Brad Areheart

Scholarly Works

Threats to privacy abound in modern society, but individuals currently enjoy little meaningful legal protection for their privacy interests. We argue that the Genetic Information Nondiscrimination Act (GINA) offers a blueprint for preventing employers from breaching employee privacy. GINA has faced significant criticism since its enactment in 2008: commentators have dismissed the law as ill-conceived, unnecessary, and ineffective. While we concede that GINA may have failed to alleviate anxieties about medical genetic testing, we assert that it has unappreciated value as an employee-privacy statute. In the era of big data, protections for employee privacy are more pressing than protections against …