Law Commons^™

Machine Speech: Towards A Unified Doctrine Of Attribution And Control, Brian Sites

University of Miami Law Review

Like many courts across the country in 2023, courts in the Eleventh Circuit were met with novel claims challenging ChatGPT and other artificial intelligence tools. These cases raise common questions: How should courts treat the speech of machines? When a machine generates allegedly defamatory material, who is the speaker—mortal or machine? When a machine generates expressive creations, who is the artist, and does that shape copyright eligibility? When a machine makes assertions about reality through lab analyses and other forensic reports, who is the accuser, and how does the answer impact a defendant’s rights at trial? Should those answers stem …

Ethical Algorithms: Navigating Ai In Legal Practice For A Just Jurisprudence, Bree'ara Murphy, Rachel Gadra Rankin, Joseph Rios

Law Review Blog Posts

Exploring the professional obligations practitioners may face in light of developing AI technology by examining state and federal model rule language, current judicial treatment of AI, and AI best practices.

The Driving Impact Of Artificial Intelligence On Global Expansion, Aleksandra Drozd

Senior Honors Theses

The invention and continual growth of artificial intelligence (AI) on the global stage have significantly shaped the world’s economies, governments, societies and their cultures. The new industrial revolution and the subsequent race of the world’s leading powers have led to increased international joint efforts and exchange of information, simultaneously reducing barriers to trade and communication. Meanwhile, emerging technologies deploying AI have led to changes in human behavior and culture and challenged the traditional nation-state model. Although several implications of the proliferation of AI remain unknown, its widening application may be tied with accelerating globalization, referred to interchangeably as global expansion. …

The Promise And Perils Of Tech Whistleblowing, Hannah Bloch-Wehba

Faculty Scholarship

Whistleblowers and leakers wield significant influence in technology law and policy. On topics ranging from cybersecurity to free speech, tech whistleblowers spur congressional hearings, motivate the introduction of legislation, and animate critical press coverage of tech firms. But while scholars and policymakers have long called for transparency and accountability in the tech sector, they have overlooked the significance of individual disclosures by industry insiders—workers, employees, and volunteers—who leak information that firms would prefer to keep private.

This Article offers an account of the rise and influence of tech whistleblowing. Radical information asymmetries pervade tech law and policy. Firms exercise near-complete …

Revolutionizing Access To Justice: The Role Of Ai-Powered Chatbots And Retrieval-Augmented Generation In Legal Self-Help, Ayyoub Ajmi

Faculty Works

Advancements in artificial intelligence (AI) present numerous opportunities to routinize and make the law more accessible to self-represented litigants, notably through AI chatbots employing natural language processing for conversational interactions. These chatbots exhibit legal reasoning abilities without explicit training on legal-specific datasets. However, they face challenges processing less common and more specific knowledge from their training data. Additionally, once trained, their static status makes them susceptible to knowledge obsolescence over time. This article explores the application of retrieval-augmented generation (RAG) to enhance chatbot accuracy, drawing insights from a real-world implementation developed for a court system to support self-help litigants.

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.

Robots As Pirates, Henry H. Perritt Jr.

Catholic University Law Review

Generative AI has created much excitement over its potential to create new works of authorship in the literary and graphical realms. Its underling machine-learning technology works by analyzing the relations among elements of preexisting material in enormous databases assembled from publicly available and licensed sources. Its algorithms “learn” to predict “what comes next” in different types of expression. A complete system thus can become glib in creating new factual summaries, essays, fictional stories and images.

A number of authors of the raw material used by Generative AI engines claim that the machine learning process infringes their copyrights. Careful evaluation of …

Risky Speech Systems: Tort Liability For Ai-Generated Illegal Speech, Margot E. Kaminski

Publications

No abstract provided.

The Copyright Requirement Of Human Authorship For Works Containing Artificial Intelligence-Generated Content, Runhua Wang

IP Theory

The U.S. Copyright Office (the “Office”) unwaveringly refuses to register copyrights for artworks created by artificial intelligence (“AI”) systems. The prima facie reason is a lack of authorship because the U.S. copyright regime recognizes only humans as authors. However, the fundamental reason lies in the fact that legislators have not yet determined whether to grant copyrights to AI users. Despite adjustments made by the Office in response to the use of AI systems in creation, the agency’s implementation of copyright statutes suggests that it remains extremely conservative, rejecting any AI-generated content (“AIGC”) from copyright registration.

Will the copyright regime continue …

Constructing Ai Speech, Margot E. Kaminski, Meg Leta Jones

Publications

Artificial Intelligence (AI) systems such as ChatGPT can now produce convincingly human speech, at scale. It is tempting to ask whether such AI-generated content “disrupts” the law. That, we claim, is the wrong question. It characterizes the law as inherently reactive, rather than proactive, and fails to reveal how what may look like “disruption” in one area of the law is business as usual in another. We challenge the prevailing notion that technology inherently disrupts law, proposing instead that law and technology co-construct each other in a dynamic interplay reflective of societal priorities and political power. This Essay instead deploys …

Chatgpt, Ai Large Language Models, And Law, Harry Surden

Publications

This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.

Marine Protected And Conserved Areas: Beneficial Uses Of Artificial Intelligence, Kyla Lucey

Catholic University Journal of Law and Technology

The ocean is an invaluable tool to the survival of humankind and “produces half of the world’s oxygen, absorbs and sequesters one third of the carbon dioxide human activities emit, provides protection from extreme weather events, and provides a source of food and livelihoods.” Without it, communities would suffer, animals would die off, industries would disappear, and the world would be much worse off. The recommendations made here reflect the growing concern the world has adopted regarding the climate crisis. This concern is warranted as many animals have already disappeared, plants are dwindling, and the once wild areas of the …

The Future Of Art And Copyright In The World Of Ai, Danna Subia Espinoza

Catholic University Journal of Law and Technology

This paper focuses on the interpretive framework embodied in copyright law and its application to art-producing technologies, how this framework has been applied to new technologies in the past, and the issues surrounding the adaption of these old frameworks to the modern concern of AI-created art. The paper also considers how the application of copyright law to modern AI issues reflects the law’s capability, or inability, to evolve and address novel situations, specifically in relation to AI-based technology. Further, it examines what, if any, steps should be taken to promote courts maintaining a firm grip on copyright protections. The issues …

Locating Liability For Medical Ai, W. Nicholson Price Ii, I. Glenn Cohen

Articles

When medical AI systems fail, who should be responsible, and how? We argue that various features of medical AI complicate the application of existing tort doctrines and render them ineffective at creating incentives for the safe and effective use of medical AI. In addition to complexity and opacity, the problem of contextual bias, where medical AI systems vary substantially in performance from place to place, hampers traditional doctrines. We suggest instead the application of enterprise liability to hospitals—making them broadly liable for negligent injuries occurring within the hospital system—with an important caveat: hospitals must have access to the information needed …

Artificial Intelligence And Transformative Use After Warhol, Gary Myers

Washington and Lee Law Review Online

The Supreme Court’s recent decision in Andy Warhol Foundation for the Visual Arts, Inc. v. Goldsmith clarifies the scope of transformative use and the role of these uses in the fair use analysis. This important case has implications for a fair use analysis of artificial intelligence. This article evaluates the interaction between copyright law’s fair use doctrine and typical sources and uses for artificial intelligence. In other words, the article will assess whether or not the use of copyrighted material to “train” AI programs—AI inputs—and the products of AI programs—AI outputs—are likely to found to be transformative in light of …

Code And Prejudice: Regulating Discriminatory Algorithms, Bernadette M. Coyle

Washington and Lee Law Review Online

In an era dominated by efficiency-driven technology, algorithms have seamlessly integrated into every facet of daily life, wielding significant influence over decisions that impact individuals and society at large. Algorithms are deliberately portrayed as impartial and automated in order to maintain their legitimacy. However, this illusion crumbles under scrutiny, revealing the inherent biases and discriminatory tendencies embedded in ostensibly unbiased algorithms. This Note delves into the pervasive issues of discriminatory algorithms, focusing on three key areas of life opportunities: housing, employment, and voting rights. This Note systematically addresses the multifaceted issues arising from discriminatory algorithms, showcasing real-world instances of algorithmic …

Trademarks In An Algorithmic World, Christine Haight Farley

Washington Law Review

According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their …

The Ideal Approach To Artificial Intelligence Legislation: A Combination Of The United States And European Union, Dane Chapman

University of Miami Law Review

The evolution of Artificial Intelligence (“A.I.”) from a speculative concept depicted in science fiction to its integration into various aspects of everyday life has brought about complex challenges for contemporary legislators. The proliferation of A.I. technology has led to a growing recognition of the need for regulation, as it poses both promises and threats to society. On the one hand, A.I. has the potential to enhance efficiency in various fields, such as medicine and automation of routine tasks. On the other hand, if left unregulated, A.I. has the potential to undermine democratic principles and infringe upon fundamental rights. Thus, legislators …

Fair’S Fair: How Public Benefit Considerations In The Fair Use Doctrine Can Patch Bias In Artificial Intelligence Systems, Patrick K. Lin

Indiana Journal of Law and Social Equality

The impact of artificial intelligence (AI) expands relentlessly despite well documented examples of bias in AI systems, from facial recognition failing to differentiate between darker-skinned faces to hiring tools discriminating against female candidates. These biases can be introduced to AI systems in a variety of ways; however, a major source of bias is found in training datasets, the collection of images, text, audio, or information used to build and train AI systems. This Article first grapples with the pressure copyright law exerts on AI developers and researchers to use biased training data to build algorithms, focusing on the potential risk …

Toward An Enhanced Level Of Corporate Governance: Tech Committees As A Game Changer For The Board Of Directors, Maria Lillà Montagnani, Maria Lucia Passador

The Journal of Business, Entrepreneurship & the Law

Although tech committees are increasingly being included in the functioning of the board of directors, a gap exists in the current literature on board committees, as it tends to focus on traditional board committees, such as nominating, auditing or remuneration ones. Therefore, this article performs an empirical analysis of tech committees adopted by North American and European listed companies in 2019 in terms of their composition, characteristics and functions. The aim of the study is to understand what “technology” really stands for in the “tech committees” label within the board, or – to phrase it differently – to ascertain what …

Thaler V. Vidal, 43 F.4th 1207 (Fed. Cir. 2022), Matthew Messina

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

Aclu V. Clearview Ai, Inc.,, Isra Ahmed

DePaul Journal of Art, Technology & Intellectual Property Law

No abstract provided.

Equitable Ecosystem: A Two-Pronged Approach To Equity In Artificial Intelligence, Rangita De Silva De Alwis, Amani Carter, Govind Nagubandi

All Faculty Scholarship

Lawmakers, technologists, and thought leaders are facing a once-in-a-generation opportunity to build equity into the digital infrastructure that will power our lives; we argue for a two-pronged approach to seize that opportunity. Artificial Intelligence (AI) is poised to radically transform our world, but we are already seeing evidence that theoretical concerns about potential bias are now being borne out in the market. To change this trajectory and ensure that development teams are focused explicitly on creating equitable AI, we argue that we need to shift the flow of investment dollars. Venture Capital (VC) firms have an outsized impact in determining …

The Perks Of Being Human, Max Stul Oppenheimer

Washington and Lee Law Review Online

The power of artificial intelligence has recently entered the public consciousness, prompting debates over numerous legal issues raised by use of the tool. Among the questions that need to be resolved is whether to grant intellectual property rights to copyrightable works or patentable inventions created by a machine, where there is no human intervention sufficient to grant those rights to the human. Both the U. S. Copyright Office and the U. S. Patent and Trademark Office have taken the position that in cases where there is no human author or inventor, there is no right to copyright or patent protection. …

Note: Artistic Relevance In Artificial Intelligence? “Roger” That!, Kelly Heilman

Notre Dame Journal on Emerging Technologies

In an era of technological revolution, artificial intelligence is shocking the legal field with its increasing popularity, power, and potential. The limits of property, personhood, and creativity are in question by both the public and the courts, leaving significant ambiguities in the law. Legal standards regarding the regulation of advanced technologies have raised unique and critical substantive questions for intellectual property rights, particularly that of trademarks, where the traditional purpose is source identification between consumers and goods.

Since the 1989 holding in Rogers v. Grimaldi, the use of trademarks for creative purposes, as a matter of First Amendment jurisprudence, …

The Evidentiary Implications Of Interpreting Black-Box Algorithms, Varun Bhatnagar

Northwestern Journal of Technology and Intellectual Property

Biased black-box algorithms have drawn increasing levels of scrutiny from the public. This is especially true for those black-box algorithms with the potential to negatively affect protected or vulnerable populations.1 One type of these black-box algorithms, a neural network, is both opaque and capable of high accuracy. However, neural networks do not provide insights into the relative importance, underlying relationships, structures of the predictors or covariates with the modelled outcomes.2 There are methods to combat a neural network’s lack of transparency: globally or locally interpretable post-hoc explanatory models.3 However, the threat of such measures usually does not bar an actor …

Exams In The Time Of Chatgpt, Margaret Ryznar

Washington and Lee Law Review Online

Invaluable guidance has emerged regarding online teaching in recent years, but less so concerning online and take-home final exams. This article offers various methods to administer such exams while maintaining their integrity—after asking artificial intelligence writing tool ChatGPT for its views on the matter. The sophisticated response of the chatbot, which students can use in their written work, only raises the stakes of figuring out how to administer exams fairly.

The Disembodied First Amendment, Nathan Cortez, William M. Sage

Faculty Scholarship

First Amendment doctrine is becoming disembodied—increasingly detached from human speakers and listeners. Corporations claim that their speech rights limit government regulation of everything from product labeling to marketing to ordinary business licensing. Courts extend protections to commercial speech that ordinarily extended only to core political and religious speech. And now, we are told, automated information generated for cryptocurrencies, robocalling, and social media bots are also protected speech under the Constitution. Where does it end? It begins, no doubt, with corporate and commercial speech. We show, however, that heightened protection for corporate and commercial speech is built on several “artifices” - …

Copyright Throughout A Creative Ai Pipeline, Sancho Mccann

Canadian Journal of Law and Technology

Consider the following fact pattern.

Alex paints some original works on canvas and posts photos of them online. Becca downloads those images and uses them to train an AI (training configures the AI’s model parameters to useful values). Becca posts the resulting trained parameter values on her website under a license that reserves to Becca the right to use the parameters commercially. Cory uses those parameter values in a program that is designed to produce artwork. Cory clicks create and the program produces a work. This work is new to Cory, but it looks a lot like one of Alex’s …

Letter Form The Editor, Wayne Rash, Iii

American University National Security Law Brief

In our last issue of The National Security Law Brief, Vol. 13, No. 1, we highlighted the dynamism that makes National Security Law such an exciting field. In this issue, No. 2, we continue with the dynamism theme. National security law is a field in constant change that often leaves us questioning how these changes will shape the law.