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.

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 …

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.

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

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

The Double-Edged Sword Of Ai In Elections: Navigating Risks And Opportunities In Washington State, Payvand Khastkhodaei

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

Deepfake Danger: The Urgent Need For Federal Protections Against Ai-Generated Pornography, Benjamin Comfort

Seattle Journal of Technology, Environmental, & Innovation Law

No abstract provided.

The Privacy Law Jigsaw: Piecing Together Legal Compliance When Pieces Don’T Fit, Roy Wyman, Wesley Mcculloch

Vanderbilt Journal of Entertainment & Technology Law

Over the past six years the United States has shifted from a relatively stable and laissez-faire privacy regime, anchored by a few, sector-specific federal statutes such as the Health Insurance Portability and Accountability Act, to an increasingly fragmented landscape dominated by numerous state-level consumer privacy laws. While these laws share commonalities, they also vary in important ways. This Article analyzes that patchwork legal regime and its impact on businesses through four points of friction: (i) statutory applicability and thresholds; (ii) notice-and-choice requirements; (iii) individual data-management rights; and (iv) controller–processor contracting obligations. This Article further explores how modern service-delivery models, especially …

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 …

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 …

Legal Considerations On Predictive Policing Based On Italian ‘Algorithmic Administration’ Principles, Stefano Rossa

Yearbook of Antitrust and Regulatory Studies

In Beck’s current risk society, the State is faced with a dilemma. To fail before the risk but to keep the sphere of citizens’ rights intact; or not to fail but to restrict fundamental rights? This payoff turns out to be the main issue that juridical reflections on the use of predictive technology tools in the public sector must consider. Policing is an administrative function that is mainly composed of acts of a preventive nature. By using ICT, it is possible to employ AI systems with a very high rate of certainty to ‘predict’ future crime scene. But is it …

Control As A Constitutional Threshold: Moody V. Netchoice And The Case For Human Authorship, Giselle Goad

Northwestern University Law Review

The Supreme Court’s 2024 decision in Moody v. NetChoice, LLC left a critical question unanswered: when do algorithmic outputs on social media platforms, such as recommended posts and videos, constitute the platform’s protected speech under the First Amendment? This Note contends that courts and litigants should borrow from the First Amendment’s speech-promoting partner, copyright law, and its authorship framework when answering that question. Copyright doctrine has already begun to grapple with how much human control is required over expressive outputs generated with the aid of technology, including AI, in order for an author to receive copyright protection over those outputs. …

In The Pursuance Of A Robust Legal Framework To Address Deepfake Harms: An Analysis Of The Indian Legal Discourse, Jyothsna Gurumurthy

Indian Journal of Law and Technology

A common issue we face in the field of law and technology is the constant game of catch-up that the law is required to play to keep up with advances in technology. Deepfake Technology (primarily based on generative adversarial networks, as explored in this article) exemplifies this game of catch-up and provides a fertile ground for academics and regulators/law makers to explore and understand what it means for a technology regulating law or rule to be robust and enforceable. By examining the judicial handling of deepfake claims within a publicity rights discourse in India, this article suggests the adoption of …

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 …

Data Portability Revisited: Toward The Human-Centric, Ai-Driven Data Ecosystems Of Tomorrow, Mark Fenwick Professor Of International Business Law, Michael Fertik Managing Partner, Paulius Jurcys Senior Lecturer, Timo Minssen Professor Of Law

Vanderbilt Journal of Entertainment & Technology Law

This Article critically examines the contemporary regulatory framework and discourse surrounding data portability in the United States. Using recent regulatory developments in the European Union as an illustration, this Article suggests that although data access and portability are identified as vital issues in multiple policy instruments, in its current iteration, at least, legal conceptions of portability continue to reinforce the interests of service providers and data controller enterprises rather than individual end users. This Article argues that a paradigm shift toward a more human-centric data approach to data governance must occur, under which data would be recognized as fundamental to …

Deepfakes And Shallow Laws: Regulating Distorted Narratives In The Political Cyberspace, Shimona Mohan, Sarthak Wadhwa

Indian Journal of Law and Technology

With a sizable section of the global population witnessing electoral churn, protests, and resistance movements in the past couple of years, this is clearly a watershed moment for modern democracies vis-à-vis technological advancements. Electoral canvassing in these democracies has expanded its footprint in the digital space, be it through social media or navigating the general contours of anonymity, engagement, and misinformation that govern our online worlds. In this context, the advent of deepfakes in the recent past, and the exponential evolution of the technology both for outreach and disruption, has invited acute regulatory attention and intervention. However, traditional policy design …

The Perils And Promises Of Artificial Intelligence In Criminal Sentencing, Tasnimul Hassan Md

Indian Journal of Law and Technology

The proliferation of technology has resulted in an increased reliance of individuals on technological devices. The world is progressively being automated using Artificial Intelligence (AI) systems that are implemented to achieve specific objectives. Automation is now an important part of people’s lives, and it could heavily change the criminal justice system. This article looks at the use of AI in criminal sentencing in India, arguing that AI-based sentencing can reduce sentencing disparity, either if it is subject to a human element or it is fed with ample data that no case-fact is left out. The paper argues that since AI …

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 …

The Law And Ethics Of Ai Creativity, Haochen Sun

St. John's Law Review

(Excerpt)

This Article comprises three parts. In Part I, after demonstrating that creativity is a social process, I explore the ethical principles of originality, attribution, and authenticity of creative activities. In Part II, I scrutinize the opacity of AI systems in the collection, utilization, and generation of works, highlighting the need for a greater focus on the legal and social problems arising from these black box processes. Lastly, in Part III, I explore why the ethical principles of originality, attribution, and authenticity should govern AI creativity, and how they would lead to the adoption by AI companies of filtering and …

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 …

Copyright Doctrine Before The Tribunal Of Science: A Response To Professor Silbey, Mateusz Blaszczyk

Scholarly Works

In an important new Article, titled A Matter of Facts: The Evolution of the Copyright Fact-Exclusion and Its Implications for Disinformation and Democracy, Professor Jessica Silbey argues provocatively that we “‘only” know that facts are excluded from copyright protection because Feist Publications v. Rural Telephone Service “says so.” She argues that both the nature and importance of facts has been underdefined and is in flux, nonetheless tracing it to the foundational cases of United States (U.S.) copyright law, and argues for a stronger exclusion of facts, which are publici juris, and belong in the public domain. This central …

Inevitable Errors: Defamation By Hallucination In Ai Reasoning Models, Lyrissa Barnett Lidsky, Andrew Daves

UF Law Faculty Publications

Over the last millennium, defamation law has adapted to many new information technologies, including the printing press, the telegraph, and the internet. Now, defamation law must adapt to the challenges presented by generative artificial intelligence, and specifically the propensity of Large Language Models to produce defamatory hallucinations. In this article, we unite the lessons of legal history with cutting-edge computer science research in developing a legal framework for addressing defamatory hallucinations produced by AI reasoning models. This article breaks new ground by recognizing both the inevitability and even desirability (in some instances) of AI hallucinations. We argue that defamation law …

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.

Ai Ethics, Law, And Policy, Pauline Kim, Ryan Durrie

Scholarship@WashULaw

AI technologies promise many benefits, but they can also have significant negative impacts on human health, safety, well-being, and fundamental rights. This chapter explores the different governance tools that have been considered for guiding developments in AI in socially beneficial ways, examining the relevance of ethics, law, and policy. Each of these approaches offer tools to address these concerns; however, each has limitations, and none provides a complete solution in itself. Statements of ethical principles can articulate high-level values and goals to guide behavior but are usually quite vague and difficult to operationalize. They also lack any enforcement mechanism. In …

Regulating Chatbot Output Via Inter-Informational Competition, Jiawei Zhang

Northwestern Journal of Technology and Intellectual Property

The advent of ChatGPT has sparked over a year of regulatory frenzy. Policymakers across jurisdictions have embarked on an AI regulatory “arms race,” and worldwide researchers have begun devising a potpourri of regulatory schemes to handle the content risks posed by generative AI products as represented by ChatGPT. However, few existing studies have rigorously questioned the assumption that, if left unregulated, AI chatbot’s output would inflict tangible, severe real harm on human affairs. Most researchers have overlooked the critical possibility that the information market itself can effectively mitigate these risks and, as a result, they tend to use regulatory tools …

Fair Use, Licensing, And Authors' Rights In The Age Of Generative Ai, Celeste Shen

Northwestern Journal of Technology and Intellectual Property

The rise of generative AI technologies has introduced unprecedented challenges to copyright law, particularly around the fair use of copyrighted works in AI training processes. Generative AI tools, such as ChatGPT, are trained on vast datasets that often include copyrighted material, typically without the consent of authors or compensation for use. This widespread, unauthorized use has led to legal disputes, with plaintiffs asserting that using protected texts in training AI models constitutes copyright infringement. This Note examines the application of the fair use doctrine to generative AI, analyzing each of the four statutory factors to demonstrate that generative AI’s commercial …

Generative Artificial Intelligence And Copyright In The Film And Media Industry, Victor A. Oberting Iv

Washington and Lee Law Review Online

The development of generative artificial intelligence (“GAI” or “generative AI”) introduces compelling benefits and capabilities to filmmakers and artists, but also brings complications regarding copyright of creative works. The American film and media industry in particular illustrates the scope of GAI’s legal, economic, and ethical implications. Though GAI may exhibit characteristics of independent agency or intent, GAI models are best understood as a new set of tools that serve a diverse range of applications in the creative process. The potential benefits of this set of tools can only be realized, then, if the filmmakers who use them are not unreasonably …

Artificial Fiduciaries, Zhaoyi Li

Washington and Lee Law Review

The rapid development of technology in the last decade has affected all levels of society. Corporate governance has not been immune to these changes. In the future, Artificial Intelligence (“AI”) fiduciaries may be technologically capable of serving as independent corporate directors. This could be an effective way to address the challenge of the absence of truly independent directors in the traditional governance framework. Artificial fiduciaries could also offer a way to mitigate agency costs and improve overall corporate governance. However, traditional corporate law lacks solutions for coping with the integration of AI into corporate governance.

Currently, there is little scholarship …

Machines Like Me: A Proposal On The Admissibility Of Artificially Intelligent Expert Testimony, Andrew W. Jurs, Scott Devito

Pepperdine Law Review

With the rapidly expanding sophistication of artificial intelligence systems, their reliability, and cost-effectiveness for solving problems, the current trend of admitting testimony based on artificially intelligent (AI) systems is only likely to grow. In that context, it is imperative for us to ask what rules of evidence judges today should use relating to such evidence. To answer that question, we provide an in-depth review of expert systems, machine learning systems, and neural networks. Based on that analysis, we contend that evidence from only certain types of AI systems meet the requirements for admissibility, while other systems do not. The break …

Why Outlaw Laws?: An Argument For A Probationary Period For Lethal Autonomous Weapons Systems Under Meaningful Human Control., Katherine E. Vuyk

The University of Cincinnati Intellectual Property and Computer Law Journal

No abstract provided.