Law Commons^™

I Am Become Meme, Manipulator Of Markets: An Analysis Of Elon Musk’S Tweets Under The Anti-Manipulation Provisions Of U.S. Securities Laws, Noah Schottenbauer

Minnesota Journal of Law, Science & Technology

No abstract provided.

Assessing Information Literacy In The Age Of Generative Ai: A Call To The National Conference Of Bar Examiners, Amy A. Emerson

Faculty Publications

Information literacy is crucial to satisfying a lawyer’s duty of technology competence by virtue of its inherent role in conducting legal research—a skill now recognized by the National Conference of Bar Examiners (NCBE) as a priority as it prepares for the NextGen Bar Exam. In light of the rapid rise in the number of attorneys facing disciplinary issues across the country, it is the NCBE’s responsibility to draw upon its rich history to address information literacy as a technological competency on the Multistate Professional Responsibility Exam to protect the public from newly licensed lawyers’ incompetent use of generative artificial intelligence.

The Ai-Robotic Prescription: Legal Liability When An Autonomous Ai Robot Is Your Medical Provider, Erika Sophia Grossbard

University of Miami Business Law Review

As AI-driven healthcare accelerates, lawmakers must race against time to establish vital regulations, striving to protect patient safety in an era of increasingly autonomous medical devices. The real challenges arise when an automated AI medical device harms a patient during medical care, and the law has yet to clarify how liability should be allocated among its stakeholders. Currently, semi-autonomous robots are diagnosing medical conditions and performing surgeries. Eventually, autonomous AI medical providers will enter the market, capable of making independent medical decisions and providing treatment. These autonomous robots will function more like medical practitioners rather than merely as assistive tools …

The Ethical Governance Of Artificial Intelligence: Using The Ai Integrative Risk-Based (Airb) Model To Achieve Compliance Risk Management, Miriam Weismann

University of Miami Business Law Review

While undeniably powerful, artificial intelligence algorithms also pose significant risks. The ethical, legal, social, and scientific implications of various AI models can be profound, as demonstrated by the subprime mortgage crisis. This crisis, worsened by the unregulated use of derivative algorithms, is a stark reminder of the pivotal role of individual accountability, ethical responsibility, and regulation in preventing future “catastrophic harm.”1 This Article ventures into the uncharted territory of AI ethical governance and aims to advance AI scholarship and address the unresolved issue of ethical compliance management in AI. Employing a risk-based assessment tool is critical for developing regulatory and …

Confronting Catastrophic Risk: The International Obligation To Regulate Artificial Intelligence, Bryan Druzin, Anatole Boute, Michael Ramsden

Michigan Journal of International Law

While artificial intelligence (“AI”) holds enormous promise, many experts in the field are warning that there is a non-trivial chance that the development of AI poses an existential threat to humanity. Existing regulatory initiatives do not address this threat but instead merely focus on discrete AI-related risks such as consumer safety, cybersecurity, data protection, and privacy. In the absence of regulatory action to address the possible risk of human extinction by AI, the question arises: What obligations, if any, does public international law impose on states to regulate its development?

At present there is no scientific consensus as to the …

Locating Consumer Financial Regulation, Nikita Aggarwal

Cardozo Law Review

Recent advances in data-driven technology in consumer financial markets, commonly referred to as “fintech,” have resurfaced the question of whether and to what extent data, particularly consumers’ personal data, should be a locus for regulatory intervention in these markets. While innovation in fintech and the accompanying increase in the processing of personal data offer to improve the functioning of consumer financial markets, like all advances in technology, they also come with costs and risks. In 2024, in a move that favored the regulation of personal financial data per se and many of the traditional features of personal data protection regulation, …

Deepfakes Can Ruin Lives And Livelihoods – Would Owning The ‘Rights’ To Our Own Faces And Voices Help?, Graeme W. Austin, Jane C. Ginsburg

Faculty Scholarship

Not that long ago, the term “deepfake” wasn’t in most people’s vocabularies. Now, it is not only commonplace, but is also the focus of intense legal scrutiny around the world.

Known in legal documents as “digital replicas”, deepfakes are created by artificial intelligence (AI) to simulate the visual and vocal appearance of real people, living or dead.

Unregulated, they can do a lot of damage, including financial fraud (already a problem in New Zealand), political disinformation, fake news, and the creation and dissemination of AI-generated pornography and child sexual abuse material.

For professional performers and entertainers, the proliferation and increasing …

When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler

Faculty Scholarship

Computer science research sometimes brushes with the law, from red-team exercises that probe the boundaries of authentication mechanisms, to AI research processing copyrighted material, to platform research measuring the behavior of algorithms and users. U.S.-based computer security research is no stranger to the Computer Fraud and Abuse Act (CFAA) and the Digital Millennium Copyright Act (DMCA) in a relationship that is still evolving through case law, research practices, changing policies, and legislation

Amid the landscape computer scientists, lawyers, and policymakers have learned to navigate, anti-fraud laws are a surprisingly under-examined challenge for computer science research. Fraud brings separate issues that …

Negotiating With Gpt-4: Digital Doormat Or Skilful Counterpart?, Dorcas Quek Anderson

Research Collection Yong Pung How School Of Law

Large language models (LLMs) such as GPT-4 have been creatively harnessed in the conflict resolution arena as dialogue agents interacting with humans within negotiations, due to their capacity for in-context learning and giving human-like responses. In light of the burgeoning use of LLMs in conflict resolution training, a pilot study was conducted to ascertain the desirability of using dialogue agents built on GPT-4 in conducting simulations for students learning negotiation skills. This article discusses insights gained from the study on the reliability of LLM agents in following prompts for negotiation simulations; notable negotiation behaviour of the LLM agent; the degree …

Revisiting Reasonable Cybersecurity, Jeffrey L. Vagle

Cardozo Law Review

Prospective theories of cybersecurity liability have traveled over some well-worn paths over the past three decades, resulting in some successes, but also in at least as many cul-de-sacs and dead ends. Part of this problem can be found in the difficulty and complexity of the subject itself. Courts, legislators, and regulators all face comprehension difficulties when they attempt to fit our existing legal system around cybersecurity, often resulting in half-measures and generalized solutions that are challenging to apply to the widely different technical details behind each case. And in the background, we have a general reluctance to create legal regimes …

Biomanipulation, Laura K. Donohue

Georgetown Law Faculty Publications and Other Works

Scientific and technological advances in the latter part of the twentieth century transformed the field of biometrics. Carleton Simon, for instance, first postulated using retinal vasculature for biometric identification in 1935, but it was not until forty years later that an Eyedentify patent brought the idea to fruition. In 1937, John Henry Wigmore anticipated using oscilloscopes to identify individuals by speech patterns. Decades later, digitization and speech processors made voiceprint identification possible. In the 1970s, biological discoveries similarly led to the development of deoxyribonucleic acid (DNA) sequencing. And while Alphonse Bertillon in the late nineteenth century postulated iris distinctions, it …

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 …

Fine-Tuning Llms: Structural Fluency And Augmentation For The Great And Powerful Wizard Of Ai, Verónica C. Gonzales

Duke Law & Technology Review

The civil legal tradition carries assumptions, biases, and attitudes rooted in racism and ideologies intended to protect the (im)balance of power. This moment in history offers new versions of the same challenges with the integration of artificial intelligence (“AI”) and large language models (“LLMs”) into legal frameworks, and those critiques are being addressed in the legal discourse. Building on these perspectives, this moment also offers civil legal professionals a chance to engage in machine learning frameworks informed by social justice principles and accountable to measures of “equal justice for all.” The perception of fairness in the use of these tools …

Determinants Of Socially Responsible Ai Governance, Daryl Lim

Duke Law & Technology Review

The signing of the first international AI treaty by the United States, European Union, and other nations marks a pivotal step in establishing a global framework for AI governance, ensuring that AI systems respect human rights, democracy, and the rule of law. This article advances the concepts of justice, equity, and the rule of law as yardsticks of socially responsible AI—from development through deployment—to ensure that AI technologies do not exacerbate existing inequalities but actively promote fairness and inclusivity. Part I explores AI’s potential to improve access to justice for marginalized communities and small and medium-sized law firms while scrutinizing …

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 …

From Cypherpunks To Decentralized Finance: How Crypto-Anarchy Is Redefining Legal And Economic Systems, Alesia Zhuk

Markets, Globalization & Development Review

This article explores the evolution of crypto-anarchy, tracing its origins from the cypherpunk movement to the rise of decentralized finance (DeFi) and its transformative effects on legal and economic systems. Central to crypto-anarchy is the belief in individual empowerment through privacy, financial autonomy, and decentralization, which allows users to bypass traditional intermediaries like banks. While these technologies offer increased freedom and financial inclusion, they also introduce significant risks such as money laundering, tax evasion, and the facilitation of illegal activities, posing challenges to current regulatory frameworks. The article examines the socio-economic implications of decentralization, including both the democratization of finance …

Foreword: 2024 Ira C. Rothgerber Jr. Conference: Artificial Intelligence And The Constitution, Suzette Malveaux

Scholarly Articles

For the first time, the Byron R. White Center for the Study of American Constitutional Law and the Silicon Flatirons Center for Law, Technology, and Entrepreneurship came together to hold a joint conference on Artificial Intelligence (AI) and the Constitution. We decided to merge our annual conferences to explore one of the most important and consequential intersections of our time: AI and the Constitution—topics we study and deeply care about. During this time of rapid and profound technological transformation, it is even more imperative that we come out of our academic silos and work together.

The partnership was destined. The …

Redefining Intellectual Property Protection: Nfl Plays In The Digital Age, Michael Touma

Washington Law Review Online

American copyright law is fluid. Its changes have mirrored evolutions in society, be they technological, cultural, or economic. At its core, copyright law exists to promote the progress of the arts and sciences; yet, the law’s outdated nature leaves many creations on the outside looking in. The last substantial copyright legislation to pass through Congress was the Copyright Act of 1976, which was nearly fifty years ago. Much has changed since, including vast technological improvements, new and emerging interests in American society, and now global economic drivers. One industry that meets these characteristics and is not currently afforded protection is …

Table Of Contents & Introductory Material

UIC Review of Intellectual Property Law

No abstract provided.

Home—The Final Frontier: Why Privacy Means Protecting Workers' Rights To Time And Space, Joshua Fairfield, Amanda Reilly

Scholarly Articles

This article critiques the failure of current privacy frameworks to protect workers—especially teleworkers—from the growing encroachment of employer surveillance into their homes. It argues that prevailing privacy regimes, including notice-and-choice models and the GDPR, inadequately address the systemic power asymmetries in the employment relationship, often enabling rather than restricting invasive monitoring. Drawing from labor law traditions, the authors propose a rights-centered framework that views time and space as essential for human dignity and autonomy. They call for a non-negotiable floor of protections, including surveillance-free periods, bans on data commodification, and the establishment of an enforcement inspectorate. By reframing privacy not …

"Esa Persona No Soy Yo": La Inteligencia Artificial Como Un Nuevo Instrumento De Violencia, Samantha Rodriguez Santillan

American University International Law Review

En 1943, cuando se inventó la primera computadora, se especularon muchísimas teorías, positivas y negativas, sobre cómo esta tecnología afectaría las relaciones humanas. Décadas después, el desarrollo de toda una nueva gama de productos y servicios creó un nuevo espacio que trajo consigo un infinito número de escenarios que lentamente se han regularizado.

Inteligencia Artificial Y Desinformación En Internet: Regulaciones (In)Compatibles Con Los Estándares De Protección Del Derecho A La Libertad De Expresión En El Derecho Internacional De Los Derechos Humanos, Trilce Gabriela Valdivia Aguilar

American University International Law Review

Durante los casi dos años de confinamiento debido a la pandemia por COVID-19, muchas de nuestras interacciones “en vivo” se trasladaron al mundo virtual. Asimismo, las redes sociales se convirtieron en una de nuestras principales fuentes de información y también en los medios más usados para comunicarnos y debatir con nuestros pares. Lamentablemente las mismas no estuvieron siempre sustentadas en información certera, sino más bien en información falsa, que circulaba en medio de viciosas burbujas donde nos era imposible conocer opiniones o pareceres contrarios a los nuestros.

Algorithmic Speech Harm, Mateusz Grochowski

Loyola Consumer Law Review

This paper examines the potential application of product liability doctrine to content moderation and recommendation algorithms employed by social media platforms. Emerging scholarship and evolving case law suggest that product liability could provide a viable legal pathway to circumvent the limitations imposed by Section 230 of the Communications Decency Act. The article critically evaluates this proposition and delves into the doctrinal foundations of product liability to assess its capacity to address harms inflicted on consumers by algorithmic systems. A central focus of the analysis is the development of a more precise definition of the harm that users understood here as …

Through A Glass Darkly: How Securities Disclosures Give A Distorted View Of The Economy, Gerald F. Davis

Seattle University Law Review

Our understanding of the American economy often relies on stylized facts derived from mandatory disclosures by listed corporations. Data vendors like Standard & Poor’s vacuum up 10Ks and proxy statements into databases, and scholars distill these into tentative maps. This may have been adequate for a postwar economy centered on asset-heavy manufacturers, but it is increasingly out of step with an information-based economy. Companies listed on the stock market are fewer in number and less representative than they were, light in tangible assets and people, and heavy on IP. Basic facts such as what industry they are in are increasingly …

What Is Copywritable In Software?, Charles Duan

Scholarly Articles in Law Reviews & Journals

No abstract provided.

El Derecho A La Privacidad Del Pensamiento: Neurotechnología En El Sistema Interamericano De Derechos Humanos, Javier Alejandro Diaz Briceno

American University International Law Review

La historia de la tecnofobia y el ludismo nos enseña que superar el miedo a lo nuevo implica reflexionar sobre cómo enfrentamos las innovaciones pasadas. Mirando hacia atrás, podemos identificar que invenciones o descubrimientos—ahora esenciales—enfrentaron resistencia inicial antes de ser aceptadas de forma general. Por mencionar algunas: los teléfonos, la electricidad, las vacunas, los elevadores, aviones, automóviles, las computadoras y más.

From Bitcoin To Courtrooms: The Evolution Of Blockchain Technology And Its Applications, Isabelle Cruz

Wyoming Law Review

Blockchain’s tamper-proof, distributed, and decentralized design has gained popularity during a period of rising cybercrime and data vulnerability. People revere blockchain for its potential to revolutionize various industries and criticize it for its association with unethical and illicit activities. Despite challenges and misconceptions surrounding its prior uses, blockchain technology has continued progressing—offering promising solutions for enhancing data security, transparency, and accountability. This Comment examines the evolution of blockchain technology, its applications, and how it can improve efficiency and enhance public trust in the judicial system. After outlining blockchain technology’s modest beginnings, this Comment theorizes several applications for blockchain in the …

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 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 …

Law As A Lamp Post, Janet Freilich

Faculty Scholarship

Law produces all manner of public information: court documents, securities filings, patents, property records, and much more. This information is used in a multitude of ways—it teaches readers about individual cases, transactions, or entities, and is also aggregated to inform policymaking, set priorities, and drive predictive analytics and artificial intelligence.

But choices about the information produced (or hidden) by law are often unintentional. Doctrines and institutions that appear facially unrelated to information production—like subject matter jurisdiction—nonetheless affect the shape and quantity of data produced. And even doctrines focused on information— like property recordation—create data used for purposes never envisioned by …