Scholars and commentators often argue that individuals do not care about their privacy, and
that users routinely trade privacy for convenience. This ignores the cognitive biases and …

This article surveys the use of algorithmic systems to support decision-making in the public
sector. Governments adopt, procure, and use algorithmic systems to support their functions …

External audits of AI systems are increasingly recognized as a key mechanism for AI
governance. The effectiveness of an audit, however, depends on the degree of access …

Data-governance law–the legal regime that regulates how data about people is collected,
processed, and used–is the subject of lively theorizing and several proposed legislative …

HARVARD LAW REVIEW Page 1 VOLUME 136 DECEMBER 2022 NUMBER 2 HARVARD
LAW REVIEW © 2022 by The Harvard Law Review Association ARTICLES CONTENT …

Companies and governments now use Artificial Intelligence (" Al") in a wide range of
settings. But using Al leads to well-known risks that arguably present challenges for a …

Artificially intelligent algorithms are being integrated into decisionmaking processes at mind-
boggling speed and scale. 1 Governments use artificial intelligence (" Al") for law …

Scholars and advocates have proposed algorithmic impact assessments (" AIAs") as a
regulatory strategy for addressing and correcting algorithmic harms. An AIA-based …

Powered by machine learning (" ML") techniques, computer vision systems and related,
novel artificial intelligence (" Al"), technologies are ushering in a new era of computational …

America's privacy bill has come due. Since the dawn of the internet, Congress has
repeatedly failed to build a robust identity for American privacy law. But now both California …