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 …

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,” …

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 …

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 …

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 …

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 …