Law Commons^™

Periods For Profit And The Rise Of Menstrual Surveillance, Michele E. Gilman

All Faculty Scholarship

Menstruation is being monetized and surveilled, with the voluntary participation of millions of women. Thousands of downloadable apps promise to help women monitor their periods and manage their fertility. These apps are part of the broader, multi-billion dollar, Femtech industry, which sells technology to help women understand and improve their health. Femtech is marketed with the language of female autonomy and feminist empowerment. Despite this rhetoric, Femtech is part of a broader business strategy of data extraction, in which companies are extracting people’s personal data for profit, typically without their knowledge or meaningful consent. Femtech can oppress menstruators in several …

Privacy In The Age Of Contact Tracing: An Analysis Of Contact Tracing Apps In Different Statutory And Disease Frameworks, Christopher S. Yoo, Apratim Vidyarthi

All Faculty Scholarship

The Covid-19 pandemic is a historic pandemic that has affected the lives of virtually everyone on the globe. One approach to slowing the spread of the disease is to use contact tracing, facilitated by our internet-connected smartphones. Different nations and states have partnered to develop a variety of contact tracing apps that use different technologies and architectures.

This paper investigates how five contact tracing apps—Germany’s Corona-Warn-App, Israel’s HaMagen, North Dakota’s Care19 Diary and Alert apps, and India’s Aarogya Setu—fare in privacy-oriented statutory frameworks to understand the design choices and public health implications shaped by these statutes. The three statutes—the Health …

Artificial Intelligence And The Challenges Of Workplace Discrimination And Privacy, Pauline Kim, Matthew T. Bodie

All Faculty Scholarship

Employers are increasingly relying on artificially intelligent (AI) systems to recruit, select, and manage their workforces, raising fears that these systems may subject workers to discriminatory, invasive, or otherwise unfair treatment. This article reviews those concerns and provides an overview of how current laws may apply, focusing on two particular problems: discrimination on the basis of protected characteristics like race, sex, or disability, and the invasion of workers’ privacy engendered by workplace AI systems. It discusses the ways in which relying on AI to make personnel decisions can produce discriminatory outcomes and how current law might apply. It then explores …

Privacy Vs. Transparency: Handling Protected Materials In Agency Rulemaking, Christopher S. Yoo, Kellen Mccoy

All Faculty Scholarship

Agencies conducting informal rulemaking proceedings increasingly confront conflicting duties with respect to protected materials included in information submitted in public rulemaking dockets. They must reconcile the broad commitment to openness and transparency reflected in federal law with the duty to protect confidential business information (CBI) and personally identifiable information (PII) against improper disclosure.

This Article presents an analysis of how agencies can best balance these often-countervailing considerations. Part I explores the statutory duties to disclose and withhold information submitted in public rulemaking dockets placed on agencies. It also examines judicial decisions and other legal interpretations regarding the proper way to …

Contracting For Algorithmic Accountability, Cary Coglianese, Erik Lampmann

All Faculty Scholarship

As local, state, and federal governments increase their reliance on artificial intelligence (AI) decision-making tools designed and operated by private contractors, so too do public concerns increase over the accountability and transparency of such AI tools. But current calls to respond to these concerns by banning governments from using AI will only deny society the benefits that prudent use of such technology can provide. In this Article, we argue that government agencies should pursue a more nuanced and effective approach to governing the governmental use of AI by structuring their procurement contracts for AI tools and services in ways that …

Taking Disability Public, Jasmine E. Harris

All Faculty Scholarship

Anti-discrimination laws enforce the idea that no one should be forced or encouraged to hide their race, gender, sexuality or other characteristics of their identity. So why is disability rights law the glaring exception? Other areas of anti-discrimination law have eschewed forms of enforced privacy about protected classes and, as a result, re-frame privacy norms as problematic, antigenic, and, at times, counter to structural reform goals. In contrast, disability rights law values privacy norms to preempt discrimination; in other words, if you never reveal the information, no one can discriminate against you because of that information. This Article argues that …