Law Commons^™

If You Think Ai Won't Eclipse Humanity, You're Probably Just A Human, Gary D. Brown

William & Mary Bill of Rights Journal

Building machines that can replicate human thinking and behavior has fascinated people for hundreds of years. Stories about robots date from ancient history through da Vinci to the present. Whether designed to save labor or lives, to provide companionship or protection, loyal, capable, productive machines are a dream of humanity.

The modern manifestation of this interest in using human-like technology to advance social interests is artificial intelligence (AI). This is a paper about what that interest in AI means and how it might develop in the world of national security.

This abstract has been adapted from the author's introduction.

Speech Regulation By Algorithm, Enrique Armijo

William & Mary Bill of Rights Journal

The rapid convergence of speech and technology on social media platforms means it is likely the case that, either now or soon, more expressive activity will be regulated by Artificial Intelligence (AI) than by any legislature, regulator, or other government entity. Mark Zuckerberg has repeatedly told Congress and other audiences that AI is the key to resolving Facebook's content moderation challenges, envisioning a moderation regime where algorithms detect and take down speech infringing Facebook's Community Standards ex ante, that is, prior to its public posting and before it reaches other users. According to Zuckerberg, this would eventually replace its initial …

"A Novel And Controversial Technology." Artificial Face Recognition, Privacy Protection, And Algorithm Bias In Europe, Andrea Pin

William & Mary Bill of Rights Journal

R (Bridges) v. Chief Constable of South Wales Police's Court of Appeals ruling... showcases the variety and the thickness of the legal, ethical, and political considerations that lie underneath the deployment of [Artificial Face Recognition]-based police tools and its ramification within Europe and beyond. More broadly, the topic of "[f]acial recognition technologies provide[s] a useful case study of the complex and unpredictable ways that norms of procedural fairness, equality, and privacy interact when the state deploys machine-learning tools to draw inferences from otherwise unilluminating data." This Article uses Bridges as a proxy to sketch out the main legal issues …

Docket Selection And Judicial Responsiveness: The Use Of Ai In The Colombian Constitutional Court, Pablo Rueda Saiz

William & Mary Bill of Rights Journal

This Article addresses some of the limitations of AI as a tool to preselect a long or shortlist of cases for a court at the apex of the judicial system to review. It focuses on the Colombian Constitutional Court, as an example of a court at the apex of the judicial system that has been historically responsive to claims for fundamental rights. Docket selection is an example of a classification problem using supervised learning, in which a machine groups data according to preestablished characteristics.

This Article draws from two different bodies of literature to analyze the consequences of using AI …

To Thine Own Self Be True? Incentive Problems In Personalized Law, Jordan M. Barry, John William Hatfield, Scott Duke Kominers

William & Mary Law Review

Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate their decisions via smartphones and other “smart” devices. They envision a legal utopia in which every fact pattern is assigned society’s preferred legal treatment in real time.

But regulation is a dynamic process; regulated parties react to law. They change their behavior to pursue their preferred outcomes— which often diverge from society’s—and they will continue to do so under personalized law: They …