Law Commons^™

Regulation Priorities For Artificial Intelligence Foundation Models, Matthew R. Gaske

Vanderbilt Journal of Entertainment & Technology Law

This Article responds to the call in technology law literature for high-level frameworks to guide regulation of the development and use of Artificial Intelligence (AI) technologies. Accordingly, it adapts a generalized form of the fintech Innovation Trilemma framework to argue that a regulatory scheme can prioritize only two of three aims when considering AI oversight: (1) promoting innovation, (2) mitigating systemic risk, and (3) providing clear regulatory requirements. Specifically, this Article expressly connects legal scholarship to research in other fields focusing on foundation model AI systems and explores this kind of system’s implications for regulation priorities from the geopolitical and …

A Compulsory Solution To The Machine Problem: Recognizing Artificial Intelligence As Inventors In Patent Law, Cole G. Merritt

Vanderbilt Journal of Entertainment & Technology Law

Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.

To embrace the development and power of AI, Congress …

Human-Centered Design To Address Biases In Artificial Intelligence, Ellen W. Clayton, You Chen, Laurie L. Novak, Shilo Anders, Bradley Malin

Vanderbilt Law School Faculty Publications

The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stage of the AI life cycle, including data collection, annotation, machine learning model development, evaluation, deployment, operationalization, monitoring, and feedback integration. To mitigate these biases, we suggest involving a diverse group of stakeholders, using human-centered AI principles. Human-centered AI can help ensure that AI systems are designed and used in a way that benefits patients and society, which can reduce health disparities and inequities. …

The Future Of Ai Accountability In The Financial Markets, Gina-Gail S. Fletcher, Michelle M. Le

Vanderbilt Journal of Entertainment & Technology Law

Consumer interaction with the financial market ranges from applying for credit cards, to financing the purchase of a home, to buying and selling securities. And with each transaction, the lender, bank, and brokerage firm are likely utilizing artificial intelligence (AI) behind the scenes to augment their operations. While AI’s ability to process data at high speeds and in large quantities makes it an important tool for financial institutions, it is imperative to be attentive to the risks and limitations that accompany its use. In the context of financial markets, AI’s lack of decision-making transparency, often called the “black box problem,” …

Ai Derivatives: The Application To The Derivative Work Right To Literary And Artistic Productions Of Ai Machines, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

This Article predicts that there will be attempts to use courts to try to broaden the derivative work right in litigation either to prevent the use of, or claim protection for, literary and artistic productions made by Artificial Intelligence (AI) machines. This Article considers the normative valence of, and the (significant) doctrinal pitfalls associated with, such attempts. It also considers a possible legislative alternative, namely attempts to introduce a new sui generis right in AI productions. Finally, this Article explains how, whether such attempts succeed or not, the debate on rights (if any) in productions made by AI machines is …

A Compulsory Solution To The Machine Problem, Cole G. Merritt

Vanderbilt Law School Faculty Publications

Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.

To embrace the development and power of AI, Congress …

The Library Of Babel For Prior Art: Using Artificial Intelligence To Mass Produce Prior Art In Patent Law, Lucas R. Yordy

Vanderbilt Law Review

Artificial intelligence is playing an increasingly important role in the invention and innovation processes of our society. To date, though, much of the academic discussion on the interaction of artificial intelligence and the patent system focuses on the patentability of inventions produced by artificial intelligence. Little attention has been paid to organizations that are seeking to use artificial intelligence to defeat the patentability of otherwise patent-worthy inventions by mass producing prior art. This Note seeks to highlight the consequences of allowing mass-produced, AI-generated prior art to render valuable inventions unpatentable. Specifically, this Note concludes that AI-generated prior art decreases the …

Algorithmic Opacity, Private Accountability, And Corporate Social Disclosure In The Age Of Artificial Intelligence, Sylvia Lu

Vanderbilt Journal of Entertainment & Technology Law

Today, firms develop machine-learning algorithms to control human decisions in nearly every industry, creating a structural tension between commercial opacity and democratic transparency. In many of their commercial applications, advanced algorithms are technically complicated and privately owned, which allows them to hide from legal regimes and prevents public scrutiny. However, they may demonstrate their negative effects—erosion of democratic norms, damages to financial gains, and extending harms to stakeholders—without warning. Nevertheless, because the inner workings and applications of algorithms are generally incomprehensible and protected as trade secrets, they can be completely shielded from public surveillance. One of the solutions to this …

"The New Weapon Of Choice": Law's Current Inability To Properly Address Deepfake Pornography, Anne Pechenik Gieseke

Vanderbilt Law Review

Deepfake technology uses artificial intelligence to realistically manipulate videos by splicing one person’s face onto another’s. While this technology has innocuous usages, some perpetrators have instead used it to create deepfake pornography. These creators use images ripped from social media sites to construct—or request the generation of—a pornographic video showcasing any woman who has shared images of herself online. And while this technology sounds complex enough to be relegated to Hollywood production studios, it is rapidly becoming free and easy-to-use. The implications of deepfake pornography seep into all facets of victims’ lives. Not only does deepfake pornography shatter these victims’ …

Statistical Precedent: Allocating Judicial Attention, Ryan W. Copus

Vanderbilt Law Review

The U.S. Courts of Appeals were once admired for their wealth of judicial attention and for their generosity in distributing it. At least by legend, almost all cases were afforded what William Richman and William Reynolds have termed the “Learned Hand Treatment.” Guided by Judge Learned Hand’s commandment that “[t]hou shalt not ration justice,” a panel of three judges would read the briefs, hear oral argument, deliberate at length, and prepare multiple drafts of an opinion. Once finished, the judges would publish their opinion, binding themselves and their colleagues in accordance with the common-law tradition. The final opinion would be …

The Machine As Author, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

Machines are increasingly good at emulating humans and laying siege to what has been a strictly human outpost: intellectual creativity.

At this juncture, we cannot know with certainty how high machines will reach on the creativity ladder when compared to, or measured against, their human counterparts, but we do know this. They are far enough already to force us to ask a genuinely hard and complex question, one that intellectual property (“IP”) scholars and courts will need to answer soon; namely, whether copyrights should be granted to productions made not by humans but by machines.

This Article’s specific objective is …

Beneficial Precaution: A Proposed Approach To Uncertain Technological Dangers, Edward L. Rubin

Vanderbilt Journal of Entertainment & Technology Law

As a result of the specialization and cumulation of knowledge in the era of High Modernity, research and development in most technical fields is largely incomprehensible to anyone outside that field. What should policy makers do when technical specialists disagree, and particularly when some predict an oncoming catastrophe and others dismiss the concern? This is the situation with the so-called Singularity, the point at which machines design, build, and operate other machines. Some experts in cybernetics and artificial intelligence argue that this is imminent, while others consign the possibility to science fiction. If the skeptics are right, nothing need be …

Fintech And International Financial Regulation, Yesha Yadav

Vanderbilt Law School Faculty Publications

This Article shows that fintech exacerbates the difficulties of standard setting in international financial regulation. Earlier work introduced the "Innovation Trilemma" (the Trilemma). When seeking to balance the goals of achieving market integrity and innovation through clear and simple rulemaking, regulators can-at best-achieve only two out of these three objectives. Fintech's unique characteristics- a reliance on automation and artificial intelligence, novel types of big data, as well as the use of disintermediating financial supply chains comprising a mix of traditional firms as well as technology specialists and newcomers-complicates the application of the Trilemma. Rulemaking struggles to achieve needed clarity where …

Looking To The Future: The Scope, Value And Operationalization Of International Human Rights Law, Lorna Mcgregor

Vanderbilt Journal of Transnational Law

The international human rights system of which international human rights law (IHRL) is a part has been critiqued for being ineffective, too legal, insufficiently self-critical, and elitist, with some claiming that it self-generates some of the challenges it faces. This Article challenges this presentation of IHRL and in doing so, sets out three priorities for its future development. These are first, that it should continue to engage in critical analysis of how IHRL can effectively respond to the complex and multifactorial challenges it faces. Second, rather than refrain from developing due to critiques of over expansion, IHRL should prioritize the …

Neuroscience, Artificial Intelligence, And The Case Against Solitary Confinement, Francis X. Shen

Vanderbilt Journal of Entertainment & Technology Law

Prolonged solitary confinement remains in widespread use in the United States despite many legal challenges. A difficulty when making the legal case against solitary confinement is proffering sufficiently systematic and precise evidence of the detrimental effects of the practice on inmates' mental health. Given this need for further evidence, this Article explores how neuroscience and artificial intelligence (AI) might provide new evidence of the effects of solitary confinement on the human brain.

This Article argues that both neuroscience and AI are promising in their potential ability to present courts with new types of evidence on the effects of solitary confinement …

Sharing The Costs Of Artificial Intelligence: Universal No-Fault Social Insurance For Personal Injuries, Jin Yoshikawa

Vanderbilt Journal of Entertainment & Technology Law

The twenty-first century is the artificial intelligence (AI) century. In the past few years, AI has become a familiar fixture of everyday life thanks to services like YouTube, Spotify, Netflix, and Alexa. Stocktraders, doctors, insurance brokers, real estate agents, recruiters, artists,and even lawyers now rely on predictive tools powered by AI to perform their highly skilled--even creative--tasks. In the following decades, AI will continue to transform more fields and deliver astonishing advancements in convenience, comfort, safety, and security. At the same time, however, AI will bring about new challenges. AI will offend, disrupt, crash, breach, incite, injure, and even kill …

Topic Modeling The President: Conventional And Computational Methods, J.B. Ruhl, John Nay, Jonathan Gilligan

Vanderbilt Law School Faculty Publications

Legal and policy scholars modeling direct actions into substantive topic classifications thus far have not employed computational methods. To compare the results of their conventional modeling methods with the computational method, we generated computational topic models of all direct actions over time periods other scholars have studied using conventional methods, and did the same for a case study of environmental-policy direct actions. Our computational model of all direct actions closely matched one of the two comprehensive empirical models developed using conventional methods. By contrast, our environmental-case-study model differed markedly from the only empirical topic model of environmental-policy direct actions using …

Nudging Robots: Innovative Solutions To Regulate Artificial Intelligence, Michael Guihot, Anne F. Matthew, Nicolas P. Suzor

Vanderbilt Journal of Entertainment & Technology Law

There is a pervading sense of unease that artificially intelligent machines will soon radically alter our lives in ways that are still unknown. Advances in artificial intelligence (AI) technology are developing at an extremely rapid rate as computational power continues to grow exponentially. Even if existential concerns about AI do not materialize, there are enough concrete examples of problems associated with current applications of AI to warrant concern about the level of control that exists over developments in this field. Some form of regulation is likely necessary to protect society from harm. However, advances in regulatory capacity have not kept …

Keeping Ai Legal, Amitai Etzioni, Oren Etzioni

Vanderbilt Journal of Entertainment & Technology Law

AI programs make numerous decisions on their own, lack transparency, and may change frequently. Hence, unassisted human agents, such as auditors, accountants, inspectors, and police, cannot ensure that AI-guided instruments will abide by the law. This Article suggests that human agents need the assistance of AI oversight programs that analyze and oversee operational AI programs. This Article asks whether operational AI programs should be programmed to enable human users to override them; without that, such a move would undermine the legal order. This Article also points out that AI operational programs provide high surveillance capacities and, therefore, are essential for …