Law Commons^™

The Right To Contest Ai, Margot E. Kaminski, Jennifer M. Urban

Publications

Artificial intelligence (AI) is increasingly used to make important decisions, from university admissions selections to loan determinations to the distribution of COVID-19 vaccines. These uses of AI raise a host of concerns about discrimination, accuracy, fairness, and accountability.

In the United States, recent proposals for regulating AI focus largely on ex ante and systemic governance. This Article argues instead—or really, in addition—for an individual right to contest AI decisions, modeled on due process but adapted for the digital age. The European Union, in fact, recognizes such a right, and a growing number of institutions around the world now call for …

When The Default Is No Penalty: Negotiating Privacy At The Ntia, Margot E. Kaminski

Publications

Consumer privacy protection is largely within the purview of the Federal Trade Commission. In recent years, however, the National Telecommunications and Information Administration (NTIA) at the Department of Commerce has hosted multistakeholder negotiations on consumer privacy issues. The NTIA process has addressed mobile apps, facial recognition, and most recently, drones. It is meant to serve as a venue for industry self-regulation. Drawing on the literature on co-regulation and on penalty defaults, I suggest that the NTIA process struggles to successfully extract industry expertise and participation against a dearth of federal data privacy law and enforcement. This problem is most exacerbated …