Law Commons^™

Critical Data Theory, Margaret Hu

William & Mary Law Review

Critical Data Theory examines the role of AI and algorithmic decisionmaking at its intersection with the law. This theory aims to deconstruct the impact of AI in law and policy contexts. The tools of AI and automated systems allow for legal, scientific, socioeconomic, and political hierarchies of power that can profitably be interrogated with critical theory. While the broader umbrella of critical theory features prominently in the work of surveillance scholars, legal scholars can also deploy criticality analyses to examine surveillance and privacy law challenges, particularly in an examination of how AI and other emerging technologies have been expanded in …

Ai-Based Evidence In Criminal Trials?, Sabine Gless, Fredric I. Lederer, Thomas Weigend

Faculty Publications

Smart devices are increasingly the origin of critical criminal case data. The importance of such data, especially data generated when using modern automobiles, is likely to become even more important as increasingly complex methods of machine learning lead to AI-based evidence being autonomously generated by devices. This article reviews the admissibility of such evidence from both American and German perspectives. As a result of this comparative approach, the authors conclude that American evidence law could be improved by borrowing aspects of the expert testimony approaches used in Germany’s “inquisitorial” court system.

Either The Law Will Govern Ai, Or Ai Will Govern The Law, Margaret Hu

Popular Media

No abstract provided.

The Philosophy Of Ai: Learning From History, Shaping Our Future. Hearing Before The Committee On Homeland Security And Government Affairs, Senate, One Hundred Eighteenth Congress, First Session., Margaret Hu

Congressional Testimony

No abstract provided.

Biden's Executive Order Puts Civil Rights Rights In The Middle Of The Ai Regulation Discussion, Margaret Hu

Popular Media

No abstract provided.

The First Byte Rule: A Proposal For Liability Of Artificial Intelligences, Hilyard Nichols

William & Mary Business Law Review

Artificial Intelligences (AIs) are a relatively new addition to human civilization. From delivery robots to board game champions, researchers and businesses have found a variety of ways to apply this new technology. As it continues to grow and become more prevalent, though, so do its interactions with society at large. This will create benefits for people, through cheaper or better products and services. It also has the possibility to create harm. AIs are not perfect, and as the range of AI uses grows, so will the range of potential harms. A mistake from an AI customer service bot could fraudulently …

Here Are Ways Professional Education Leaders Can Prepare Students For The Rise Of Ai, A. Benjamin Spencer

Popular Media

No abstract provided.

On The Danger Of Not Understanding Technology, Fredric I. Lederer

Popular Media

No abstract provided.

The Ai Quid Pro Quo Problem: Suggesting A Framework For Patents Involving Artificial Intelligence-Assisted Or -Created Inventions, Daniel Wicklund

William & Mary Business Law Review

Innovation involving artificial intelligence (AI) is rapidly expanding and diffusing into other areas of technology. Additionally, inventors have been using AI to assist in new technology for quite a while and have likely received patents from the United States Patent and Trademark Office (USPTO or “Office”) for their inventions without disclosing the AI involved in the patentable subject matter. As AI has become increasingly present in the implementation of new technology, the question of whether an AI can be an inventor has arisen. In Thaler v. Iancu and on appeal, the courts have affirmatively said no. However, this decision implicates …

Automated Government For Vulnerable Citizens: Intermediating Rights, Sofia Ranchordás, Luisa Scarcella

William & Mary Bill of Rights Journal

Filing tax returns or applying for unemployment benefits are some of the most common government transactions. Yet interacting with tax and social security authorities is for many a source of government anxiety. Bureaucracy, regulatory delays, and the complexity of the administrative legal system have been regarded for decades as the key reasons for this problem. Digital government promised a solution in the shape of simplified forms, electronic filing, and better communication with citizens. In the United States, privately developed software systems such as TurboTax and MiDAS emerged as intermediaries between citizens and digital government, selling convenience and efficiency. These systems …

Biometrics And An Ai Bill Of Rights, Margaret Hu

Faculty Publications

This Article contends that an informed discussion on an AI Bill of Rights requires grappling with biometric data collection and its integration into emerging AI systems. Biometric AI systems serve a wide range of governmental purposes, including policing, border security and immigration enforcement, and biometric cyberintelligence and biometric-enabled warfare. These systems are increasingly categorized as "high-risk" when deployed in ways that may impact fundamental constitutional rights and human rights. There is growing recognition that high-risk biometric AI systems, such as facial recognition identification, can pose unprecedented challenges to criminal procedure rights. This Article concludes that a failure to recognize these …

From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter

William & Mary Bill of Rights Journal

We consider this issue here and suggest that the current calls for a negative right to be free from AI could very well transform over time into positive claims that demand the use of algorithmic tools by government officials. In Part I, we begin by sketching the current landscape surrounding the adoption of AI by government. That landscape is characterized by strong activist and scholarly voices expressing a pronounced aversion to the use of digital algorithms—and taking a decidedly negative rights tone. In Part II, we show that, although aversion to complex technology might be understandable, that aversion is neither …

A Title Vii Dead End? Machine Learning And Employee Monitoring, Kayla Burris

William & Mary Law Review Online

This Note will argue that Title VII, as courts currently apply the law, does not adequately protect employees from algorithmic discrimination when companies use machine learning to monitor their employees' computers. Part I will provide an introduction to how employee monitoring tools work, how employers are using machine learning in their monitoring programs, and how these programs can discriminate. Because scholars have already done significant work in this area, this Note will not try to replicate this research but will provide an overview of how this discrimination can occur. Parts II and III will then analyze how an employee might …

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 …

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.

"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 …

Contractual Tax Reform, Michael Abramowicz, Andrew Blair-Stanek

William & Mary Law Review

One-size-fits-all taxation fails to accommodate diverse taxpayer circumstances. This Article proposes allowing taxpayers to contract into alternative tax regimes administered by private intermediaries. Participating taxpayers would make payments to the intermediaries pursuant to contract, and the intermediaries would be required to pay to the government at least as much as these taxpayers would have paid the government otherwise. That amount is determined based on the actual tax receipts of a control group, taxpayers who wish to contract with an intermediary but instead are chosen at random to continue under the status quo. These alternative tax regimes might better accommodate taxpayers’ …

Artificial Stupidity, Clark D. Asay

William & Mary Law Review

Artificial intelligence is everywhere. And yet, the experts tell us, it is not yet actually anywhere. This is because we are yet to achieve artificial general intelligence, or artificially intelligent systems that are capable of thinking for themselves and adapting to their circumstances. Instead, all the AI hype—and it is constant—concerns narrower, weaker forms of artificial intelligence, which are confined to performing specific, narrow tasks. The promise of true artificial general intelligence thus remains elusive. Artificial stupidity reigns supreme.

What is the best set of policies to achieve more general, stronger forms of artificial intelligence? Surprisingly, scholars have paid little …