Internet 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.

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 …

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

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

Chat M.D., Nathan Cortez

Faculty Journal Articles and Book Chapters

Large language models (LLMs) such as Claude and ChatGPT are the most powerful artificial intelligence (AI) systems ever created, and they are being used to diagnose and treat patients. But LLMs have been shown to be unreliable, unpredictable, and unsafe on occasion. New AI guidelines recommend hundreds of standards, such as ‘transparency’, ‘trustworthiness’, and ‘safety’. But there is deep uncertainty whether these are sufficient. The literature focuses mostly on which standards best suit AI models, not on how to transmute standards into law. This article does that by considering AI guidelines as a starting point, then evaluating whether existing frameworks …

Theme Issue - Emerging Ip Enforcement In Online Markets And Digital Spaces, Michael Goodyear

Articles & Chapters

Editor's Note

Agentizing Privacy Preferences Without Privatizing Data Protection Policy, Frank Pasquale, Vanna Carter

Cornell Law Faculty Publications

This essay explores how consumers might exercise newly restored agency in a digital environment increasingly shaped by generative AI. Rather than expecting consumers to read privacy-related terms of service, policymakers should encourage the emergence of Automated Consumer Agents (“ACAs”) capable of interpreting privacy provisions and acting on behalf of users according to their stated preferences. These systems could automatically reject objectionable forms of data extraction, translating consumer values into actionable decisions in online transactions.

Despite this promise, the rise of ACAs would also present new problems. Without supportive policy and legal frameworks, agentization of privacy preferences could itself reproduce or …

The Sec Proposed Cybersecurity Infrastructure Rules And New Disclosure Requirements, Neal F. Newman, Lawrence J. Trautman, Brian Elzweig

Faculty Scholarship

In addition to regulation of securities market issuers, the Securities & Exchange Commission (SEC) is also responsible for regulation of those entities that provide the networks, either electronic or physical, that enable the functioning of our securities markets. On February 9, 2022, the Commission published a Release for Cybersecurity Risk Management for Investment Advisers, Registered Investment Companies, and Business Development Companies containing proposals that, if adopted, would establish a new cybersecurity incident reporting and disclosure regime and require registered investment advisers (“advisers”) and investment companies (“funds”) to implement policies and procedures designed to address cyber risks. The comment period for …

Dignity And Deepfakes, Michael Goodyear

Articles & Chapters

Today, we face a dangerous technosocial combination: AI-generated deepfakes and the Internet. Believable and accessible, these deepfakes have already spread sex, lies, and false advertisements across the Internet and targeted everyone from Taylor Swift to middle school students. Dissemination of deepfakes inflicts multifarious dignitary harms against their victims—especially women and LGBTQ+ persons—stripping them of control over their own identities, harming their reputations, and ostracizing them from society through shame.

Yet this is not the first time a new technology for capturing one’s likeness and a method for disseminating images threatened individuals’ dignity. In the late nineteenth century, the right of …

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 …

The Use Of Ai In Canadian Courts, Shaughnessy Dow

Dalhousie Journal of Legal Studies

Like many other fields, there has been growing discussion about the potential benefits of AI for the law. In light of the Federal Court’s interim principles and guidelines on the use of AI, this paper considers whether AI applications can assist the judiciary with its decision-making function. In doing so, it starts by considering the role that judges play in our legal system, finding that they are often called upon to consider and weigh information with human, emotional qualities and to assess the broader policy implications of their legal rulings. This paper concludes that the optimism of proponents of AI …

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 …

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 …

The Legal Cybersecurity Crisis: Potential Resolutions And Artificial Intelligence Implications, Ava R. Warrick

Senior Honors Theses

As cybersecurity becomes more relevant in the digital age, law firms have overlooked protections from cyberattacks, and this neglect has led to irreversible client data breaches. This thesis sought to investigate cybersecurity vulnerabilities in law firms and to theorize potential solutions using a literature review methodology. The research questions for this project are: What are the most effective cybersecurity protections for United States law firms, and should those cybersecurity protections utilize AI-based systems? In response, this thesis posits three claims. First, the central factors that contribute to inadequate law firm cybersecurity are as follows: lack of governmental oversight over legal …

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 …

Infringing Information Architectures, Michael Goodyear

Articles & Chapters

Information architectures—systems that facilitate storing and sharing data and content—underpin daily life, from streaming sites like Netflix and Hulu to social media platforms like Instagram and TikTok. Since the printing press, these systems and their novel features have challenged the bounds of copyright law, leading to accusations that providers and users directly infringe others’ copyrights. Almost fifty years ago, however, a largely unexplored paradigm shift occurred. Copyright owners started to allege that information architecture providers should be broadly secondarily liable for all their users’ infringements. These claims, which this Article terms architectural infringement claims, pose an acute challenge to the …

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 …

Ai-Driven Branding: Trademark Law Implications Of Automated Creativity, David J. Looney

Touro Law Review

The rapid advancement of Artificial Intelligence (“AI”), particularly generative AI systems like OpenAI’s ChatGPT and DALL-E, has introduced novel challenges to trademark law, which have remained largely unchanged since the Lanham Act of 1946. While trademark law has evolved to address such issues as dilution, international registration, and cybersquatting, the emergence of AI-generated con[1]tent capable of producing words, phrases, logos, and symbols raises significant concerns about infringement and dilution of existing trademarks. This Note examines the intersection of AI and trademark law, exploring the historical and current frameworks of both fields, the legal dilemmas posed by AI’s ability to generate …

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping”—the automated extraction of large amounts of data from the internet. A great deal of scraped data contains people’s personal information. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archiving of records, and meaningful scientific research, scraping for AI can also be objectionable and even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this …

Consumer Agents, Rory Van Loo

Faculty Scholarship

In the twenty-first century economy, individuals need market help that they are not getting. The technology has long existed for a browser plug-in that would filter out toxic social media content or a virtual shopping assistant that would find and even purchase the best deals online without having to go to many different websites and product pages. Yet tech platforms have used lawsuits and data control to stifle such tools. The lack of digital helpers has potentially profound consequences. Social media use is linked to alarming increases in teenage depression and anxiety. Businesses’ ability to manipulate consumers into paying higher …

The False Choice Between Digital Regulation And Innovation, Anu Bradford

Northwestern University Law Review

This Article challenges the common view that more stringent regulation of the digital economy inevitably compromises innovation and undermines technological progress. This view, vigorously advocated by the tech industry, has shaped the public discourse in the United States, where the country’s thriving tech economy is often associated with a staunch commitment to free markets. U.S. lawmakers have also traditionally embraced this perspective, which explains their hesitancy to regulate the tech industry to date. The European Union has chosen another path, regulating the digital economy with stringent data privacy, antitrust, content moderation, and other digital regulations designed to shape the evolution …

Defamation Or Impersonation? Working Towards A Legislative Remedy For Deepfake Election Misinformation, John Thayer

William & Mary Law Review

This Note explores how election deepfakes fit into the broader frameworks of defamation and impersonation law and posits that Congress and the judiciary may remedy the threat by borrowing from both areas of law. It builds on existing scholarship that has addressed the issue of deepfakes in both the electoral context as well as the general context. Furthermore, it expands upon scholars’ prior identification of these areas of law as potential avenues for regulating election deepfakes.11 It posits that solutions to election deepfakes offered by Professors Rebecca Green and Rick Hasen could go even further while still surviving constitutional scrutiny, …