Computer Law Commons^™

Regulating Manipulative Design Is Not Preempted By Cda 230 Or The First Amendment, Brett Frischmann, Peter Ormerod

Faculty Publications

For over two decades, there has been a heated debate among legal scholars, activists, judges, and others about the scope of Section 230 of the Communications Decency Act. A persistent theme in those debates has been hyperbolic claims about the necessity of immunity from state laws for digital tech platforms and fearmongering that anything less than maximum immunity will destroy the Internet.

This Article argues that states retain considerable discretion to regulate digital platforms’ design and engineering decisions. We argue that manipulation, engineered behavior, and even habituation and normalization of engineered behavior by digital platforms are content-agnostic harms attributable to …

Ai Suppression: E-Discovery Software And Brady, Jason Hartline, Liren Shan, Alec Sun, Rebecca Wexler

Faculty Scholarship

Prosecutors regularly rely on AI e-discovery software, known as technology assisted review (TAR) tools, to sort and prioritize digital evidence. These tools implicate constitutional concerns: they can either risk suppressing or help to surface exculpatory and impeachment evidence that prosecutors must disclose under the Brady due process rule. Yet doctrine, agency guidance, and scholarship offer virtually no direction on their use.

This Article examines how TAR affects Brady compliance. Using computer science simulations on synthetic data sets, we show that TAR can either hide or help to expose Brady evidence, depending on how it is configured and the configurations of …

Operational Responsibility In Ai Governance: A User-Centric Liability Framework, Zhengyang Chen

Faculty Publications

Who bears responsibility when artificial intelligence systems cause harm? This question has become central to AI ethics and governance. Most existing approaches focus on developers, yet this faces serious practical and theoretical problems. Drawing on tort law, agency law, and philosophy of technology, this paper argues that AI should be understood as an instrument whose outputs remain the responsibility of human operators rather than developers. We call this 'user-centric governance.' Placing accountability with deployers promotes public trust by creating clear lines of responsibility, a concern that governance approaches have often overlooked. It preserves democratic accountability by keeping human actors answerable …

Ai Is Taking Over!: A New Generation Of Unemployment Fears, Amaya V. Hepburn

Student Scholar Symposium Abstracts and Posters

The growing panic surrounding AI taking over the workforce is strong in a distinct group of demographics, in contrast to the fear of computers taking over the workforce that was seen in previous generations. This suggests that AI developments have sparked a wave of fear that is unlike the fear of tech developments in the past. I have discovered that this fear is prevalent across several demographics: age, employment, and income. By cross-analyzing through the 2017 and 2025 fear surveys, I discovered that fear of AI is more prevalent in younger generations and is more threatening to students entering the …

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 …

Virtual Reality Training Assists With Police De-Escalation, Brad Kneller

Center for Cybersecurity

Title: Virtual Reality Training Assists with Police De-escalationAuthor: Brad Kneller, Department of Criminal Justice, Kean UniversityAbstract:Objective/Overview: Everyday police officers encounter high-stakes situations that require split-second decisions, where outcomes can be life or death. In many cases, de-escalation techniques could replace or reduce the need for force, potentially leading to safer resolutions for both officers and civilians. To support officers in developing these skills, universities, police departments, and community agencies are exploring innovative training methods, such as the use of virtual reality (VR). VR enables officers and trainees to engage in realistic, immersive scenarios that traditional classroom or role-play settings cannot …

Body Cameras Use By Federal Agents, Kevin Holst

Center for Cybersecurity

In today’s political climate and increasingly tense view of law enforcement, obtaining a true and accurate account of police–civilian encounters has become more critical than ever. The widespread use of body-worn cameras serves as an essential tool in preventing false, misleading, or selectively edited narratives by providing objective and comprehensive documentation of interactions between law enforcement agents such as ICE and the public. Over the past decade, body cameras have proven beneficial for local police agencies by protecting officers from unfounded accusations, supporting investigations, and increasing overall transparency. As public scrutiny continues to rise, federal agents now face similar challenges, …

Tokenized Real Estate: The Law And Tech Of Digital Deeds, Christopher K. Odinet, Andrea Tosato

Faculty Scholarship

The advent of blockchain technology has generated bold claims that non-fungible tokens (NFTs) can fundamentally transform real estate. Proponents assert that digital assets can tokenize real property interests: the concept of using digital tokens to represent ownership rights in physical property. Their goal is to allow buyers and sellers to transfer real estate through simple blockchain transactions, thereby eliminating traditional intermediaries, reducing costs, and accelerating deal velocity. This Essay provides the first comprehensive legal analysis examining whether American law actually supports such a direct tokenization of real estate rights.

Our investigation reveals a stark disconnect between technological capability and legal …

Law School News: Women In Law Leadership Lecture Welcomes Victims' Rights Attorney Carrie Goldberg To Roger Williams University School Of Law 3-19-2026, Mikayla Larguinha

Life of the Law School (1993- )

No abstract provided.

The Business Of Ai-Producing Startups: Evidence From A Worldwide Survey, James Bessen, Stephen Michael Impink, Robert Seamans

Faculty Scholarship

We report results from a multi-year, worldwide survey of artificial intelligence (AI)-producing startups to describe the types of technologies, frameworks, data protection, and partnerships nascent firms use to develop their AI products. Analyses of our survey findings also inform how startups gather the resources to commercialize their AI applications in alignment with their entrepreneurial strategies, address competitive barriers, and respond to regulations. These data provide initial evidence of the perceived impact of these products on their customers’ tasks and industries, suggesting that these firms’ AI products not only reduce labor costs but augment human capabilities.

Law Library Blog (March 2026): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

The Last Human Question: Generative Ai's Existential Threat To Consensus And Law, Joshua Fairfield

Scholarly Articles

The true risk of artificial intelligence (“AI”) is not that the toasters will rise up. It is that AI will be competent to perform human tasks and indifferent to human welfare. The risk is that we will be outcompeted by generative automated processes that create output similar to ours (although never the same, as this Article explains), but which need none of the outputs of the economy for food, shelter, or human flourishing. Further, a more precise and existential description of the threat is that generative AI will disrupt and crowd out humanity’s evolutionary superpower, our ability to generate agreement …

Reconceiving Safety Regulation For Ai And Ml Medical Software, Barbara J. Evans, Eric S. Rosenthal, Azra Bihorac

UF Law Faculty Publications

This article explores the challenges of regulating AI and ML clinical decision support tools intended to assist trained health care professionals in delivering clinical care. Two old, twentieth-century regulatory models have dominated discussions of medical AI policy since 2013. Thinking inside these old regulatory boxes has not produced effective regulatory solutions to address the novel risks AI poses in clinical care. The first regulatory box treats software as a medical device, which tasks medical device regulators with making software safe but neglects the crucial roles physicians, nurses, administrators, medical practice regulators, and other health oversight bodies must also play to …

Beyond Sharenting, Stacey B. Steinberg

UF Law Faculty Publications

Sharenting—the practice of parents sharing information about their children online—has become mainstream in American society. While most forms of sharenting may be considered benign or even beneficial, some parents harm or exploit their children when sharing online. For example, “mom-influencers” often violate their children’s privacy in their attempts to attract followers to their social media accounts. While traditional forms of parental sharing raise privacy concerns, we are only beginning to understand the dangers and impacts of widespread exposure of children on social media.

This Article is the first to propose a welfare model of child protection to address exploitative and …

Global Supply Chain Resilience In Emerging Technologies: A Case Study Of Bitcoin Mining, Kishanthi Parella, Carla L. Reyes

Scholarly Articles

The United States has put into motion bold plans in critical and emerging technologies to bolster its national and economic security.  For example, the federal government created a national bitcoin strategic reserve and a stockpile of other cryptocurrency; while several states have committed to or are considering similar goals.  However, the security of these reserves is dependent on two types of supply chains within the Bitcoin mining industry: analogue supply chains, relating to the physical components needed for Bitcoin mining, and data supply chains, relating to the complex and layered logistical network of actors that create input into …

Child Exploitation Through Online Sharing: “Sharenting” And The Role Of The Pediatric Provider, Stacey Steinberg, Cameron Rosenthal

UF Law Faculty Publications

The alarming trend of “sharenting” highlights the need for increased vigilance in protecting children from online exploitation. When parents share intimate details about children’s lives on social media, they may inadvertently expose them to danger. Pediatricians are equipped to safeguard children from parental abuse and neglect; however, they are less prepared to protect children from harm caused by parents online.

When parents exploit children on social media, pediatricians face challenges in protecting patients while also following laws that maintain parental autonomy. Using a child welfare framework, this article defines these online harms and proposes strategies for protecting children from exploitative …

From Privacy To The Data Economy: The Ftc’S Reframing Of Its Regulatory Priorities, Maria P. Angel

Scholarly Works

This Article argues that the Federal Trade Commission’s turn to “commercial surveillance” reflects a strategic shift away from traditional privacy frameworks toward addressing structural power dynamics in the data economy. Drawing on an analysis of 112 FTC documents, it identifies three core commitments: tackling systemic harms, adopting a political economy lens, and constraining corporate power. The Article contends that this reframing is both necessary in the AI age and should influence the future of privacy regulation in the United States, even amid efforts to limit the FTC’s authority.

Af-Xray: Visual Explanation And Resolution Of Ambiguity In Legal Argumentation Frameworks, Yilin Xia, Heng Zheng, Shaun Bowers, Bertram Ludäscher

Computer Science Faculty Scholarship

Argumentation frameworks (AFs) provide formal approaches for legal reasoning, but identifying sources of ambiguity and explaining argument acceptance remains challenging for non-experts. We present AF-XRAY, an open-source toolkit for exploring, analyzing, and visualizing abstract AFs in legal reasoning. AF-XRAY introduces: (i) layered visualizations based on game-theoretic argument length revealing well-founded derivation structures; (ii) classification of attack edges by semantic roles (primary, secondary, blunders); (iii) overlay visualizations of alternative 2-valued solutions on ambiguous 3-valued grounded semantics; and (iv) identification of critical attack sets whose suspension resolves undecided arguments. Through systematic generation of critical attack sets, AF-XRAY transforms ambiguous scenarios into grounded …

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

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, …

Obscurity And The Fallacy Of No Privacy In Public Information, Woodrow Hartzog

Faculty Scholarship

The main thesis of this chapter is that because there are so many different possible interpretations of ‘public information’, the concept cannot be used to justify data practices and surveillance without first articulating a more precise meaning that recognises what is at stake. By disposing of the myth that there is an objective and dispassionate concept of public information, judges and lawmakers can clear the way for information rules based on overt value choices. In short, if the concept of ‘public’ is going to shape people’s social and legal obligations, its meaning and neutrality should not be assumed.

My argument …

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 …

Response: Foreign Affairs Prosecutions And Cybercrime, Mailyn Fidler

Law Faculty Scholarship

A response to Professor Steven Koh's new article on how the U.S. makes global criminal justice policy. Prof. Fidler examines what a decade of cybercrime indictments reveals about America's approach to prosecuting foreign hackers. Three things stand out: * Beyond Attribution - These indictments aren't just about naming and shaming, or about the typical dimensions of criminal alw. They're sophisticated foreign policy tools that coordinate and moderate international sanctions and global norms. * Intertwined with Cooperation - The indictments alternately create space for and slow the tempo of international cooperation on this issue, according to U.S. interests. * Power Projection …

Ai In Law Libraries: Discussing Ethical Considerations And A Way Forward, Joshua Levine

Library Staff Articles

This review examines the AALL 2025 program “AI in Law Libraries: Discussing Ethical Considerations and a Way Forward,” focusing on the ethical challenges artificial intelligence presents for law librarians and legal professionals. The author highlights discussions on the Model Rules of Professional Conduct, responsible and transparent use of AI, risks such as hallucinations and bias, and broader concerns including environmental impact and the future of human labor. The review emphasizes that the program raised important questions rather than definitive solutions, underscoring the need for ongoing, profession-wide dialogue as AI continues to evolve.

Better Digital Contracts With Prosocial Friction-In-Design, Brett Frischmann, Moshe Y. Vardi

Faculty Publications

Contract law is supposed to enable people to reach genuine agreements and cooperate. If this ideal was ever a reality, the rise of mass market contracts and boil­erplate rendered it pure fiction. Modern consumer contracts are incomprehensible to most people. No one reads them anyway.

Digital contracting involves design features that amplify traditional boilerplate harms and create others. For example, digital contracting is too cheap; low marginal costs lead to overexpansion in scale and scope. To make matters worse, the loss of autonomy from repeat engagement with digital contracting systems is pernicious. People become increasingly predictable and programmable as digital …

The Gamification Of Banking, Colleen Baker, Christopher K. Odinet

Faculty Scholarship

Gamification is coming to banking. This phenomenon is already gain-ing ground in advertising, healthcare, manufacturing, and, more recently, with the GameStop and AMC meme stock saga in securities trading. The idea behind gamification is to make transactions seem fun, playful, and even casino-like in order to elicit habit-forming, addictive-like effects with consumers. This Article argues that the rise of financial technology (“fintech”) firms and their ever-growing business relationships with incumbent financial institutions has created the necessary conditions for gamification to take hold in the banking sector. In order to explore this observation, we undertake a study of current examples 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 Complex Interplay Between Intellectual Property And The Right To Science, Peter K. Yu

Faculty Scholarship

In April 2020, the U.N. Committee on Economic, Social and Cultural Rights released General Comment No. 25, which provides an authoritative interpretation of the right to science—a right that has hitherto not received much attention. In light of this publication and the recent celebration of the 75th anniversary of the Universal Declaration of Human Rights, this article examines the complex interplay between intellectual property and the right to science, with a view toward the human rights challenges brought about by both the COVID-19 pandemic and the arrival of generative AI.

The article begins by documenting the historical evolution of the …

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 …