Science and Technology Law Commons^™

The End Of Shopping, Mark Bartholomew, Samuel I. Becher

William & Mary Law Review

Self-acting “shopping agents” are no longer science fiction. Deployed by major platforms like Google, Amazon, and Walmart, AI systems are evolving from passive advisors to autonomous decision makers capable of opening accounts, canceling subscriptions, and finalizing purchases without human oversight. Though AI shopping agents have the potential to improve consumer satisfaction and marketplace competition, shopping agents come with attendant risks. By foregrounding shopping’s overlooked economic, psychological, and cultural stakes, we reframe the rise of AI shopping agents as a critical challenge for the law and society, rather than a mere evolution in retail convenience. Drawing on sociology, marketing, and behavioral …

Ai Slop, Jessica Silbey, Woodrow Hartzog

Faculty Scholarship

The term “AI slop” has become popular to describe the output of generative AI systems seen as voluminous, low quality, or the result of little effort. When AI-generated music and videos flood platforms, they are called slop. Peer-reviewed journals and legal tribunals are drowning in low-quality and low-reliability AI slop submissions.  Employees are seen to be producing mountains of slop in their reports and communications with each other. The term has inertia and heft, and the phenomenon has significant consequences. Most of them are not good.

But the boundaries of “AI slop” and its usefulness in policy discussions are not …

Artificial Personhood: The Implications Of Recognizing The Legal Personhood Of Artificialintelligence, Daniel C. Borges

Vanderbilt Journal of Entertainment & Technology Law

Artificial intelligence (AI) is here in a big way. As society grapples with the implications of this profound new technology, the question of whether AI entities should be granted independent legal recognition, akin to human personhood, has emerged as a pivotal topic in jurisprudence. This Article explores the foundations, evolution, and implications of AI personhood, addressing philosophical perspectives, the development of personhood as a legal fiction (with specific emphasis on corporate personhood), and the need for AI personhood to counter the risks posed by rapidly developing AI technology. It defines the "AI person" as one whose legal recognition furthers a …

Patentability Of Ai-Assisted Inventions: Guidance, Case Law, And A Roadmap Forward, Zhipeng Zhu

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Muth's Law: Anticipating Ai Model Collapse, Karl T. Muth

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

Generative Ai Training And Fair Use: Can Chatgpt Turn Your Favorite Meme Into A Stupid Ghibli Animation?, Liam Donovan

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.

How Ai Destroys Institutions, Woodrow Hartzog, Jessica Silbey

Faculty Scholarship

Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies encourage cooperation and stability, while also adapting to changing circumstances. The real superpower of institutions is their ability to evolve and adapt within a hierarchy of authority and a framework for roles and rules, while maintaining legitimacy for the knowledge produced and the actions taken. Purpose-driven institutions built around transparency, cooperation, and accountability empower individuals to take intellectual risks and challenge the status quo. This happens through the machinations of interpersonal relationships within those institutions, which broaden …

Ai Mistakes: "Confabulation" And Abduction, Not "Hallucination", Stephen M. Mcjohn, Ian Mcjohn

Suffolk University Law School Faculty Works

"Hallucination" has become the common term for errors by AI systems, yet it implies a misleading analogy to human perception. LLM's process tokens. They do not have conscious experience or conscious perception. A hallucination is an experience, and (to our knowledge, to date) LLM's do not experience anything. This paper suggests that legal scholars follow the lead of a small number of AI researchers who have suggested that "confabulation" is a more accurate term, a metaphor grounded in psychology. People confabulate when they unknowingly invent spurious explanations or facts. We then take this terminological question and stretch it into a …

Professor Jacob Noti-Victor Accepted To 2026 Harvard/Stanford/Yale Junior Faculty Forum, Benjamin N. Cardozo School Of Law

Cardozo Law News Archive

Professor Jacob Noti-Victor was selected to present his paper, Copyright Litigation After Generative AI, at the 2026 Harvard/Stanford/Yale Junior Faculty Forum. Chosen through a competitive double-blind review process, his paper examines how generative artificial intelligence is reshaping copyright litigation and proposes procedural reforms to address emerging legal challenges.

Advice For Incorporating Ai Tools Into Your Legal Practice, Celia Bigoness, Robert A. Mackenzie, David J. Reiss

Cornell Law Faculty Publications

We have been speaking with many lawyers and law students about using generative artificial intelligence (AI) tools in their legal practice. We are struck by the fact that many of them have not been experimenting much, if at all, with the tools that are available to them - although many acknowledge that their clients are increasingly integrating generative AI into their businesses. We have been integrating a lot of these tools into our own professional lives, and here are some tips to help lawyers and law students get comfortable with AI tools that can help them, in big ways and …

Grading Machines: Can Ai Exam-Grading Replace Law Professors?, Kevin L. Cope, Jen Frankenreiter, Scott Hirst, Eric A. Posner, Daniel Schwarcz, Dane Thorley

Faculty Scholarship

In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly adopting them as complements to—or substitutes for—lawyers and other human experts. Several studies have examined LLMs' performance in taking law school exams, finding mixed results. Yet there have been no published studies systematically analyzing LLMs' competence at one of law professors' chief responsibilities: grading law school exams. This paper presents results of an analysis of how LLMs perform in evaluating student responses to legal analysis questions of the kind typically administered in law school exams. The underlying data come from …

We Robot 2025: Connecting Global Robotics And Ai Governance Experts In Canada, Kristen Thomasen, Suzie Dunn

Canadian Journal of Law and Technology

This special We Robot issue of the Canadian Journal of Law and Technology is particularly ‘‘special” to us for a variety of reasons. It presents an important opportunity to highlight the interdisciplinarity required to meaningfully engage with robotics and artificial intelligence (‘‘AI”) regulation. It highlights the growing international connections among law and technology scholars. And it features many of the cutting-edge papers from one of the world’s premier law and robotics conferences, We Robot.

The thirteenth annual We Robot 2025 conference was held at the University of Windsor in April 2025. This conference marked the first ever in-person gathering of …

Friend Or Foe? Generative Ai And Legal Writing, Peter Nemerovski

Maine Law Review

Much has been made in recent years of the capabilities of generative artificial intelligence ("Generative AI") programs in performing law-related tasks. We have learned, for example, that OpenAI's product, GPT-4, is capable of passing the Uniform Bar Exam with flying colors. ChatGPT also earned passing grades on the final exams in four different law school courses. Another study found that "AI assistance consistently induced large declines in the amount of time taken to complete tasks" like drafting complaints, contracts, and employee handbook sections. These and other success stories have led commentators to predict that Generative AI programs "will revolutionize what …

Ethics Of Artificial Intelligence For Lawyers: Resistance Is Futile: Candor, Supervision, And Fees, Cliff Mckinney

Arkansas Law Notes

In Star Trek: The Next Generation, the Borg deliver their iconic warning to every species they encounter: “Resistance is futile.” The line resonates because it conveys the inevitability that once the Borg arrive, escape is no longer an option.

For lawyers, the duties of candor, supervision, and fairness in fees are just as inescapable. ABA Formal Opinion 512 (“ABA Opinion”) makes clear that, regardless of how powerful artificial intelligence becomes, it cannot relieve attorneys of their obligation. Attorneys must verify what they file, oversee how their colleagues use the technology, and ensure that clients are charged fairly. This installment examines …

Ethics Of Artificial Intelligence For Lawyers: You Will Be Assimilated: Best Practices For Lawyers Using Artificial Intelligence, Cliff Mckinney

Arkansas Law Notes

In Star Trek: The Next Generation, the Borg, a species augmented with artificial intelligence, give a chilling ultimatum to every civilization they encounter: “You will be assimilated.” The warning is terrifying because it suggests not destruction, but absorption with the loss of independence to a relentless collective.

For lawyers, the rise of artificial intelligence carries a similar threat of assimilation. Artificial intelligence is already entering law practice, whether lawyers welcome it or not. The real question is not if lawyers will be assimilated into a future integrated with artificial intelligence, but how they will use these tools without sacrificing judgment, …

Ethics Of Artificial Intelligence For Lawyers: That Is The Sound Of Inevitability: Legislatures And Regulators Step In, Cliff Mckinney

Arkansas Law Notes

In The Matrix, the evil artificial intelligence entity, Agent Smith, corners the human hero, Neo, on the subway tracks. Agent Smith says, “You hear that Mr. Anderson? . . . That is the sound of inevitability. . . .” And if there is one thing that is inevitable, it is that regulations will quickly develop around the way that we interact with and utilize artificial intelligence.

No matter how innovative or disruptive artificial intelligence may be, lawmakers and regulators will not allow it to operate unchecked. Congress recently elected not to impose a moratorium on state regulation, and California has …

The Free Content Illusion, Jonathan M. Barnett

Journal of Intellectual Property Law

Conventional scholarly wisdom tends to discount the importance of copyright as a tool for delivering remuneration to the artists that sustain the digital creative ecosystem or as an enabling mechanism that facilitates the licensing, distribution, and financing transactions that constitute the economic infrastructure of the media and entertainment industries. This position runs counter to the evolution of digital content markets, which have experienced renewed investment and growth concurrently with the development of technological tools that have enabled content owners to correct for the “copyright deficit,” regulate access, and extract payment from platforms and users. This result conforms to standard economic …

Ethics Of Artificial Intelligence For Lawyers: Shall We Play A Game? The Rise Of Artificial Intelligence And The First Cases, Cliff Mckinney

Arkansas Law Notes

In the 1983 movie WarGames, a young computer hacker accidentally accesses a United States military supercomputer programmed to run nuclear war simulations. Four decades after WarGames, lawyers are now facing similar challenges of learning to use and communicate with artificial intelligence––hopefully without destroying the world. Artificial intelligence tools, such as ChatGPT, Claude, and Gemini, are quickly being incorporated into legal practice. These systems can draft documents, perform analysis, and support other legal tasks. While lawyers adjust to these new technologies, courts and regulatory authorities are actively developing appropriate frameworks to guide and supervise the use of these tools within the …

Ai Can't Adlib: Theorizing An Improvisation Carveout In The Work For Hire Doctrine, Audrey Pope

IP Theory

AI-generated actors and digital replicas are an increasingly pressing concern in the filmmaking industry. While this technology is only one of the myriad ways that generative AI is set to change Hollywood, debates about its use reflect a throughline in debates about AI generally: Can this technology do a convincing, much less desirable, job of what humans have done before? This Article argues that, at least in one particular context, the answer is no. It focuses on the art of adlibbing. It explains the unique position of improvisation within copyright law and proposes one mechanism—a carveout in the work for …

The Deepfake Dilemma: Fake Images, Real Victims, And The Legal Void In Addressing Non-Consensual Deepfake Pornography, Elizabeth A. Safaryn

William & Mary Journal of Race, Gender, and Social Justice

This Note evaluates the various legal remedies available to victims of non-consensual deepfake pornography. As deepfakes are a relatively new but rapidly advancing technology, it is difficult for the law to keep up with the mass creation and distribution of AI-generated images on the Internet. With the competing interest of constitutionally protected speech, current deepfake laws fail to address non-consensual intimate image sharing (NCII) explicitly and lack the necessary deterrent effect to curb their proliferation. With an initial background on deepfakes and machine learning, this Note then explores the strained relationship between the First Amendment and the available civil remedies …

Reclaiming Constitutional Authority Of Algorithmic Power, Yiyang Mei, Michael J. Broyde

Faculty Articles

Whether and how to govern AI is no longer a question of technical regulation. It is a question of constitutional authority. Across jurisdictions, algorithmic systems now perform functions once reserved to public institutions: allocating welfare, determining legal status, mediating access to housing, employment, and healthcare. These are not merely administrative operations. They are acts of rule. Yet the dominant models of AI governance fail to confront this reality. The European approach centers on rights-based oversight, presenting its regulatory framework as a principled defense of human dignity. The American model relies on decentralized experimentation, treating fragmentation as a proxy for democratic …

Never Cool Enough: Legal And Policy Challenges To Keeping Data Centers And Communities Empowered In A Warming World, Cristina M. Banahan, Diana B. Wilkinson

Lewis & Clark Law Review

In a rapidly evolving world, artificial intelligence (AI) and cryptocurrency are two technologies at the forefront of the future. Although these developments promise many potential societal benefits and revenue, they come with a price. The data processing required to operate these new technologies demands a large amount of energy, using water to cool the systems and enable them to run without overheating. With such high water and energy demands, the benefits from these technological advancements come at a steep environmental cost. Despite the negative environmental impacts of these data centers, the Trump Administration continues to roll back environmental protections. The …

Copyright Eligibility For Ai Works Under United States Law, Roger V. Skalbeck

Law Faculty Publications

This article examines copyright eligibility for works that incorporate generative AI elements under United States law, explaining that such works may be protected only to the extent they contain human-authored expression.  This expression can appear as creative selection, arrangement, editing, or other expressive contributions, while unedited or autonomously generated AI output is not copyrightable. The article highlights how the U.S. Copyright Office’s registration and review system, through disclosure requirements, refusals, and public registration records, creates meaningful evidence about boundaries of copyright protection for AI-assisted works. The article contrasts this U.S. registration framework with other legal systems, including European jurisdictions such …

Blame It On The Algorithm (But Sue Them Both): Joint Enterprise And Agency In Ai-Driven Hiring Discrimination, Khushi Palan

American University Business Law Review

The proliferation of artificial intelligence (AI) in hiring processes has created a significant accountability gap in employment discrimination law. While federal statutes like Title VII of the Civil Rights Act, the Americans with Disabilities Act, and the Age Discrimination in Employment Act focus on finding liability for traditional employers, they fail to adequately address the unique role of third-party AI vendors whose algorithms often drive discriminatory outcomes. This Comment examines the emerging legal landscape through the lens of Mobley v. Workday, where the District Court for the Northern District of California recognized that AI vendors can function as “agents” of …

Taking Scale Seriously In Technology Law, Mark P. Mckenna, Woodrow Hartzog

Faculty Scholarship

Issues of scale—the relationship between the amount of an activity and its associated costs and benefits—permeate discussions around law and technologies. Indeed, it’s not much of an exaggeration to say that scale is the reason for most technology regulation.

But it’s not always clear how lawmakers and judges conceptualize “scale” when approaching questions around automated technologies. Scale is often used intuitively, just to mean “more.” But scale is not always just about more—scale can introduce new harms and benefits along different dimensions, not simply costs or efficiencies of greater magnitude.

In this Article, we argue for a more sustained interrogation …

Against Ai Half Measures, Woodrow Hartzog, Neil Richards, Ryan Durrie, Jordan Francis

Faculty Scholarship

So far, U.S. consumer protection policy for artificial intelligence (AI) accountability has largely consisted of industry-led approaches such as encouraging transparency, mitigating bias, promoting principles of ethics, and empowering people. These approaches are vital, but they are only half measures. To bring AI within the rule of law, lawmakers must start drawing substantive lines.

In this Article, we identify four AI regulatory approaches to consumer, data, and democratic harms as half measures. First, transparency does not produce accountability on its own. Second, while mitigating bias in AI systems is critical, even unbiased systems are a threat to the vulnerable. Third, …

The Lawyer Of The Future: Ethics And Identity In The Age Of Ai, David Yosifon, Michael Santoro, Isaac Nikssarian

American University Law Review

The dawn of artificial intelligence (AI) poses a fundamental challenge to the legal profession’s practical function and social identity. We argue that this challenge should be met as an opportunity to reclaim the profession’s core ethical intentions. We approach the emergence of AI as an occasion to define and safeguard what is irreducibly human in legal work. We ground our approach in the ethical imperatives set out in the American Bar Association’s Model Rules of Professional Conduct, while extending them into an invigorated framework for the AI era.

We survey the uses and ethical challenges associated with cutting-edge deployment of …

Developer Perspectives On Licensing And Copyright Issues Arising From Generative Ai For Software Development, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Laura A. Heymann, Massimiliano Di Penta, Daniel M. German, Denys Poshyvanyk

Faculty Publications

Despite the utility that Generative AI (GenAI) tools provide for tasks such as writing code, the use of these tools raises important legal questions and potential risks, particularly those associated with copyright law. As lawmakers and regulators respond to these questions, the views of users can offer relevant perspectives. In this article, we provide: (1) a survey of 574 developers on the licensing and copyright aspects of GenAI for coding, as well as follow-up interviews; (2) a snapshot of developers’ views at a time when GenAI and perceptions of it were rapidly evolving; and (3) an analysis of developers’ perspectives, …

A Bottom-Up Approach To Ai Facial Recognition Technology Wrongful Arrests And Subsequent 42 U.S.C. § 1983 Actions, Marty Ishmael

University of Cincinnati Law Review

No abstract provided.

The Role Of Artificial Intelligence In Reducing Internet Crimes Against Children, Malyssa Shaw

Student Scholar Symposium Abstracts and Posters

When generative artificial intelligence (AI) first surfaced and broke into the public sphere, my immediate concern was in its development, implementation, and harmful applications. I was not surprised when deepfake technology rapidly advanced alongside these new developments and impacted women and children worldwide. Disproportionately, they have been made victims of intimate media forgery as early as the 1990s, with an unprecedented uptick in recent years as a direct result of these developments. In response, I wrote "Deepfake, Real Harm: Protecting Children in the Age of AI", analyzing data specifically regarding child sexual abuse material (CSAM) created with artificial intelligence while …