Computer Law Commons^™

When Artificial Intelligence Becomes Emotional Intelligence: Rethinking Section 230 Liability For Ai As A Pseudo-Therapist, Kennedy Aikey

University of Cincinnati Law Review

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 …

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 …

Social Media’S Death Toll: Who Should Be Held Liable?, Sara Fradi

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

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 …

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 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 …

Ai At Work, Algorithmic Bosses, And The Ambivalence Of Automation, Antonio Aloisi, Valerio De Stefano

All Papers

This chapter revisits a foundational question (“what do bosses do?”) to explore how artificial intelligence (AI) is reshaping power dynamics in the workplace. Far from neutral tools of optimisation, algorithmic systems increasingly amplify managerial prerogatives, embedding them into automated processes that are difficult to scrutinise or contest. These developments give rise to a paradox: managers and workers are simultaneously augmented and disempowered, caught in systems that intensify control while eroding autonomy. Drawing on legal, organisational, and regulatory perspectives, we argue that existing safeguards, ranging from data protection rights to information and consultation, are ill-equipped to confront this shift. The chapter …

Considering The Concept Of Law In The Legal Singularity, Matthew Tse

Canadian Journal of Law and Technology

This review article engages with the idea of a ‘‘legal singularity”, which has been developed by Abdi Aidid and Benjamin Alarie in their book, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better.

The legal singularity describes a legal system in the future that harnesses algorithmic computation to facilitate a ‘‘stable and complete legal order, capable of addressing and resolving practically all types of legal uncertainty in real time and on demand”. Aidid and Alarie believe algorithmic computation will achieve this promise in an interdependent dual process. On one hand, algorithms will structure the law with conceptual standardization. …

Redefining Child Pornography In An Age Of Technological Advancement: The Concept Of Avoidable Harm, Debra D. Burke, Christopher N. Doval

Washington Journal of Law, Technology & Arts

In 2020, Netflix released on its streaming service the movie Cuties, a coming-of-age story about an 11-year-old Senegalese immigrant who joined a dance group. The film is a commentary against the hyper-sexualization of children and the pressure young girls face from social media and society and received a director’s award at the Sundance Film Festival. Its release, however, kicked off a culture war, prompting a movement to cancel Netflix subscriptions in response to the film’s sexually provocative imagery of young girls. The movie’s award-winning director defended the film’s message, explaining that the film was her own story, struggling as a …

Ai Inventorship: Recognizing The True Inventors Requires Change, Nicholas Scambia

St. John's Law Review

(Excerpt)

The Analytical Engine was conceived almost two hundred years ago—a general-purpose programmable computing engine which had essential features resembling a modern-day computer. While truly a marvel for its time, the Analytical Engine lacked the ability to perform functions on its own, as it was only able to do tasks for which it was programmed.

Today, artificial intelligence (“AI”) has become increasingly popular and powerful and is projected to keep growing. AI demonstrated its autonomous strength to the whole world on national TV when IBM’s Watson competed on Jeopardy!, beating the game show’s legends Ken Jennings and Brad Rutter. Since …

Defining Deference: Impacts Of Abandoning Chevron On Emerging Technology Governance And Administrative Law, R. Aubrey Davis Iii

Seattle University Law Review

Emerging technologies, particularly Artificial Intelligence (AI), often lead to unforeseen legal outcomes. Notable abuses in areas such as facial recognition, employment bias, and housing discrimination are well known. However, legislative responses to these issues either have been largely reactive or there has been no legislative response at all. In lieu of legislation, agencies have sought to fill the gap. For example, the Federal Communications Commission (FCC) recently proposed a rule mandating voter notification for all AI-generated political phone calls citing the Telephone Consumer Protection Act (TCPA) of 1991 as authority. However, the TCPA was originally passed to curtail telemarketing, not …

Beyond Data Deletion: Addressing Anticompetitive Conduct In The Era Of Machine Learning, Vaibhav Srikaran

Washington Journal of Law, Technology & Arts

Like a hamster wheel, the “virtuous cycle” of data collection, collation, and computation spins to create algorithms to assist modern business operations. Companies accumulate data by the terabyte with hopes that their army of data scientists can make sense of all the noise using machine learning. Potential profits encourage companies to seek out data—sometimes unlawfully through collusion. The use of unlawfully collected data in algorithms harms competition. Such data provides a competitive edge that is not accessible to all marketplace participants. Antitrust laws can police unlawful data sharing, but existing remedies are not effective for restoring competition.

Merely deleting ill-gotten …

Gendering The New International Convention On Cybercrimes And New Norms On Artificial Intelligence And Emerging Technologies, Rangita De Silva De Alwis

Washington Journal of Law, Technology & Arts

The trifecta of the Digital Global Compact (2024), the UN General Assembly Resolution on AI for Sustainable Development (2024) and the new Cyber Crime Convention (2025) come at a time of what seems to be an inexorable march of new technology. It is also at a time of transborder disruption caused by data breaches and cyber threats, that binding international norms can respond to global challenge. However, it must be emphasized that digital violence, developer bias, and data bias are not new phenomena, they have existed since the origins of the internet. Data that is used to train machine-learning algorithms …

Fighting The Hypothetical: Why Law Firms Should Rethink The Billable Hour In The Generative Ai Era, Nancy B. Rapoport, Joseph R. Tiano, Jr.

Washington Journal of Law, Technology & Arts

“Fighting the Hypothetical: Why Law Firms Should Rethink the Billable Hour in the Generative AI Era” analyzes how the emergence and adoption of generative artificial intelligence (GenAI) will fundamentally disrupt the traditional billable hour model that has dominated the industry since the 1960s. Professor Rapoport and Mr. Tiano contend that GenAI’s ability to perform routine legal tasks quickly and accurately will force law firms to shift away from billing structures based primarily on time spent (or inputs) and toward models that better reflect client value (or outputs).

The authors interviewed law firm leaders to gain an “in the trenches” view …

Guide To Sec And Business Open Source Corporate Intelligence, Lawrence J. Trautman, Brian Elzweig, Neal F. Newman

Faculty Scholarship

An agency of the U.S. intelligence community observes, "The explosion of open source intelligence (OSINT) in recent years has transformed how governments and people around the world consume and process information about society and global issues." It is likely that "We all use open-source and probably don't even realize it, but we also use it for different reasons. You might use open-source information to do a credibility check and to find out more about the person selling you something on Facebook marketplace." Others "may research someone… met on a dating app or before hiring someone for a job." Every use …

Clean Data: Recursion As Pollution In Environmental Ai, Joshua Fairfield

Scholarly Articles

If “data is the new oil,” then corruption in the data used to train artificial intelligence (AI) constitutes a new form of pollution. Environmental AI has traditionally been discussed in terms of its indirect effects on the environment—the irony of burning power, processor cycles, and heat to produce solutions to stop and heal environmental damage. But there is a deeper problem. When environmental AI suggests interventions, its outputs are written onto the landscape. If that landscape is then read as data to retrain AI, there is a risk of model collapse and catastrophic forgetting, as the snake devours its own …

Keynote Address: The Movement To Protect Kids From Addictive Technologies, Gaia Bernstein

Seattle University Law Review

In this keynote address, I describe my personal journey starting with a school outreach program I created in 2017 to address technology overuse among kids. While I initially advocated for self-help methods, I grew to recognize that the tech industry bore responsibility. This realization led me to write Unwired: Gaining Control over Addictive Technologies, which focused on collective action to pressure the tech industry to redesign its addictive products.

I then describe the movement to control addictive technologies and protect kids, which has gained momentum since the end of the pandemic. This movement combines grassroots parent activism with legal-political action. …

The Ai Doppelgänger Dilemma: Cloned Voices In The Music Industry, Elizabeth Shields

Seattle University Law Review

With the rise of generative artificial intelligence (AI), there has been an influx of “voice clones”—deep-learning algorithms that create synthetic speech to realistically mimic human voices. Celebrities and, in particular, music artists, have been subjected to the proliferation of AI voice clones on social media platforms like TikTok and streaming platforms such as Spotify. Despite music utilizing AI voice clones having amassed much popularity, this technology can be harmful and highly invasive to musicians whose livelihoods often depend on their distinct voices. While legal scholars have attempted to articulate various rights that could protect a person’s voice, individuals are largely …

This Is Not A Game: The Addictive Allure Of Digital Companions, Nizan Geslevich Packin, Karni Chagal-Feferkorn

Seattle University Law Review

Artificial Intelligence (AI) agents have become an inescapable part of modern childhood, reshaping education, leisure activities, entertainment, and social interaction. From AI-powered tutors that adapt to individual learning styles to emotionally responsive chatbots that simulate human companionship, these systems promise unprecedented personalization, cognitive stimulation, and social support. However, these benefits mask significant risks that remain unregulated and inadequately addressed.

Although adults are also susceptible to forming deep emotional bonds with AI companions—often trusting them as if they possessed genuine understanding and empathy—children are particularly vulnerable. Their misplaced trust can more severely distort social development, weaken critical thinking, and foster unhealthy …

Do Ais Dream Of Electric Boards?, Robert J. Rhee

Northwestern University Law Review

When artificial intelligence (AI) acquires self-awareness, agency, and unique intelligence, it will attain ontological personhood. Management of firms by AI would be technologically and economically feasible. The law could confer upon AI the status of legal personhood, as it did upon traditional business firms in the past, thus dispensing with the need for inserting AI as property within the legal boundary of a firm. As a separate and distinct entity, AI could function independently as a manager in the way that legal or natural persons do today: i.e., AI as director, officer, partner, member, or manager. Such a future is …

Artificial Intelligence And Intellectual Property, Part Iii: Ip Protection For Ai-Assisted Inventions And Creative Works, Joshua Landau

American University Business Law Review

Chairman Darrell Issa, Ranking Member Hank Johnson, distinguished members of the Subcommittee on Courts, Intellectual Property, and the Internet ("Subcommittee") of the Committee on the Judiciary ("Judiciary Committee"), on behalf of the Computer and Communications Industry Association (CCIA) and its members, thank you for this opportunity to share our views on intellectual property (IP) protection for artificial intelligence (AI)-assisted works and inventions.

Volume 7 (2024) Artificial Intelligence And Responsibility, Arwa Alnajashi, Danielle Derise, Philip L. Frana, David Mcgraw, Amanda Sawyer, Tatjana Titareva, Raafat Zaini, Allie Zombron

International Journal on Responsibility

The seventh volume of the International Journal on Responsibility (IJR) arrives at a crucial moment in the evolution of artificial intelligence and its integration into our academic and social fabric. As we witness the rapid advancement and deployment of AI systems across various domains, this special issue examines the multifaceted dimensions of responsibility surrounding AI technology, with a particular focus on its role in higher education and broader societal implications.

The articles in this volume contribute to our understanding of responsibility through diverse lenses, from classroom implementation to ethical design considerations. Together, they fulfill IJR’s central mission of exploring “Who …

Scla 521 Ai In Society, Bert Chapman

Libraries Faculty and Staff Presentations

Provides access to information resources on societal impacts of artificial intelligence from multiple libraries databases covering multiple disciplines including government information resources.

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

Train Or Restrain? Using International Perspectives To Inform The American Fair Use Analysis Of Copyright In Generative Artificial Intelligence Training, Serena Lightstone

Northwestern Journal of International Law & Business

The rise of generative artificial intelligence (“AI”) has brought questions regarding the permissibility of using copyrighted materials in training generative AI systems around the globe. This article examines whether such use constitutes infringement under the American fair use doctrine, drawing insights from the regulatory approaches of the European Union (EU) and Japan.

Ultimately, this article advocates for United States courts to recognize the permissibility of using copyrighted materials in training generative AI models, rejecting the EU’s rights-holder-centric approach, and going beyond Japan’s limited-permissibility solution. Through a detailed four-factor fair use analysis, this article demonstrates that training generative AI on copyrighted …

Future Market Blueprints: Harnessing Artificial Intelligence In A World Wired For Wonder, David Temprano

Northwestern Journal of International Law & Business

George, Jane, and the gang from The Jetsons promised us the dream to soar with flying cars. Well, we move forward with self-driving cars. Robot maids? Well, we got a handy dandy Roomba. The Turn-off-the-Boss Button? Well, we have screen share toggling and the mute button. What each of these examples has in common is artificial intelligence (AI). According to some estimates, AI and its innovation have the potential to boost the global economy by trillions of dollars a year, revolutionizing society in the process. In this process comes progress, but also worry and questions, law and intervention, along with …

More Than ‘‘Responsible Ai” Bridging Artificial Intelligence Systems (Ais) And Aisystems Ethics Into Practice, Ruth Bankey

Canadian Journal of Law and Technology

This article reflects on the question ‘‘how should we approach the ethics of AI and technology?” through the example of how the Canada Revenue Agency (CRA) is working within this space to develop its Artificial Intelligence Systems (AIS) Ethics Lifelong Learning and Professional Development Strategy. This strategy is connected, but also acts as a critical counterpoint, to approaches to AI governance and accountability that are reliant on a notion of ‘‘Responsible AI”. In these contexts, responsible AI is understood as the regulatory adoption of ‘‘rules” diffused through a normative structure of hierarchical authority within the organization or business. Rather, this …