Law Commons^™

Can The Automated State Be Trusted? The Role Of Rule Of Law Safeguards For Governing Automated Decision-Making And Artificial Intelligence, Joanna Mazur, Maciej Bernatt

Georgia Law Review

The goal of this Article is to take a broader perspective on the lessons which can be learned from the implementation of automated decision-making in the public sector—specifically in regard to how procedural rule of law mechanisms can make such projects trustworthy. The underlying idea behind this Article is to posit the debate about the ADM within the context of rule of law as a key notion in liberal democracies. At the same time, we rely on a law and political economy framework. We look through the lens of power relations and assess to what extent selected procedural solutions governing …

From The Editor In Chief, Antulio J. Echevarria Ii

The US Army War College Quarterly: Parameters

Welcome to the Summer 2024 issue of Parameters. We open this issue with a special “In Memoriam” by General Charles A. Flynn, Commander US Army Pacific, honoring the life and legacies of our director and consummate colleague, Carol V. Evans. We dedicate this issue to her. General Flynn’s memoriam is followed by an In Focus commentary on China’s Belt and Road Initiative. We then feature three forums covering the Russia-Ukraine War, the Middle East, and Professional Development. This issue also contains special essays on the role of professional writing, the US Army War College’s Civil-Military Relations Center, …

Raven Sentry: Employing Ai For Indications And Warnings In Afghanistan, Thomas W. Spahr

The US Army War College Quarterly: Parameters

This article examines Raven Sentry, a project that employed artificial intelligence to provide advance warning of insurgent attacks in Afghanistan. During 2019 and 2020, the Resolute Support Deputy Chief of Staff for Intelligence (J2) benefited from a command culture open to innovation, the urgency created by the US drawdown, and a uniquely talented group of personnel that, aided by commercial sector experts, built an AI system that helped predict attacks. The war’s end cut Raven Sentry short, but the experience provides important lessons on AI and the conditions necessary for successful innovation.

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.

Computationally Assessing Suspicion, Wesley M. Oliver, Morgan A. Gray, Jaromir Savelka, Kevin D. Ashley

University of Cincinnati Law Review

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

Computationally Assessing Suspicion, Wesley M. Oliver

Law Faculty Publications

Law enforcement officers performing drug interdiction on interstate highways have to decide nearly every day whether there is reasonable suspicion to detain motorists until a trained dog can sniff for the presence of drugs. The officers’ assessments are often wrong, however, and lead to unnecessary detentions of innocent persons and the suppression of drugs found on guilty ones. We propose a computational method of evaluating suspicion in these encounters and offer experimental results from early efforts demonstrating its feasibility. With the assistance of large language and predictive machine learning models, it appears that judges, advocates, and even police officers could …

No Sword, No Shield, No Problem: Ai In Pro Se Section 1983 Suits, Michaela Calhoun

University of Colorado Law Review Forum

Originating during the Reconstruction era, 42 U.S.C. 1983 emerged as a legislative tool to safeguard individuals’ constitutional rights and liberties. Initially designed to combat state-sanctioned violence, its efficacy has been eroded over time by subsequent judicial and legislative action. Unfortunately, the current state of Section 1983 falls short of this envisioned role, particularly for incarcerated individuals who find themselves navigating the complexities of the federal court system as pro se litigants.

Faced with a landscape devoid of resources, incarcerated individuals struggle to realize their constitutional rights, further perpetuating their collective status as a second-class citizenry—a status imposed by their own …

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. …

Ethical Implications Of Utilizing Generative Artificial Intelligence In The Legal Profession: A Cautionary Note On Potential Model Rules Of Professional Conduct Violations, Rachel Schworer

Lincoln Memorial University Law Review Archive

The increased use of generative artificial intelligence (“GAI”) in the legal profession raises ethical questions. As a result, this note contemplates some state-adopted Model Rules of Professional Conduct that lawyers could violate if they improperly use GAI or fail to use GAI altogether. GAI enables lawyers to increase their efficiency, enhance their decision-making, and provide cost-efficient services to clients. However, GAI also presents lawyers with biased outputs, a lack of explainability, and hallucinations, as seen in recent cases when ChatGPT cited fictitious cases to lawyers. Lawyers must know all the benefits and risks to remain competent in this technology. They …

The Legal Imitation Game: Generative Ai’S Incompatibility With Clinical Legal Education, Jake Karr, Jason Schultz

Fordham Law Review

In this Essay, we briefly describe key aspects of [generative artificial intelligence] that are particularly relevant to, and raise particular risks for, its potential use by lawyers and law students. We then identify three foundational goals of clinical legal education that provide useful frameworks for evaluating technological tools like GenAI: (1) practice readiness, (2) justice readiness, and (3) client-centered lawyering. First is “practice readiness,” which is about ensuring that students have the baseline abilities, knowledge, and skills to practice law upon graduation. Second is “justice readiness,” a concept proposed by Professor Jane Aiken, which is about teaching law students to …

Briefing Note: 45th Meeting Of The Wipo Standing Committee On Copyright And Related Rights, Sean Flynn

Joint PIJIP/TLS Research Paper Series

This analysis provides a historical and legal overview of the principle agenda items to be discussed at the 45th meeting of the Standing Committee on Copyright and Related Rights.

Critical Data Theory, Margaret Hu

William & Mary Law Review

Critical Data Theory examines the role of AI and algorithmic decisionmaking at its intersection with the law. This theory aims to deconstruct the impact of AI in law and policy contexts. The tools of AI and automated systems allow for legal, scientific, socioeconomic, and political hierarchies of power that can profitably be interrogated with critical theory. While the broader umbrella of critical theory features prominently in the work of surveillance scholars, legal scholars can also deploy criticality analyses to examine surveillance and privacy law challenges, particularly in an examination of how AI and other emerging technologies have been expanded in …

The Role Of Artificial Intelligence In Determining The Criminal Fingerprint, Saeed Al Matrooshi

Journal of Police and Legal Sciences

The research aimed to identify the motives and justifications for the use of artificial intelligence in predicting crimes, to explain the challenges of artificial intelligence algorithms, the risks of bias and their ethical rules, and to highlight the role of artificial intelligence in identifying the criminal fingerprint during the detection of crimes. The research relied on the analytical approach, for the purpose of identifying the motives and justifications for the use of intelligence. Artificial intelligence in crime detection, explaining the challenges of artificial intelligence algorithms, their risks of bias, and ethical rules, and exploring how artificial intelligence technology can hopefully …

Turning Fake Data Into Fake News: Ai Training Set As A Trojan Horse Of Misinformation, Bill Tomlinson, Donald J. Patterson, Andrew W. Torrance

San Diego Law Review

Generative artificial intelligence (AI) offers tremendous benefits to society. However, these benefits must be carefully weighed against the societal damage AI can also cause. Dangers posed by inaccurate training sets have been raised by many authors. These include racial discrimination, sexual bias, and other pernicious forms of misinformation. One remedy to such problems is to ensure that training sets used to teach AI models are correct and that the data upon which they rely are accurate. An assumption behind this correction is that data inaccuracies are inadvertent mistakes. However, a darker possibility exists: the deliberate seeding of training sets with …

Coded Social Control: China’S Normalization Of Biometric Surveillance In The Post Covid-19 Era, Michelle Miao

Washington Journal of Law, Technology & Arts

This article investigates the longevity of health QR codes, a digital instrument of pandemic surveillance, in post-COVID China. From 2020 to 2022, China widely used this tri-color tool to combat the COVID-19 pandemic. A commonly held assumption is that health QR codes have become obsolete in post-pandemic China. This study challenges such an assumption. It reveals their persistence and integration - through mobile apps and online platforms - beyond the COVID-19 public health emergency. A prolonged, expanded and normalized use of tools which were originally intended for contact tracing and pandemic surveillance raises critical legal and ethical concerns. Moreover, their …

Tools Do Not Create: Human Authorship In The Use Of Generative Artificial Intelligence, Michael D. Murray

Journal of Law, Technology, & the Internet

Artistic tools, from brushes to complex algorithms, don’t create art; human artists do. The advent of generative AI tools like Midjourney, DALL-E, and Stable Diffusion has blurred this understanding, causing observers to believe these tools are the authors of the artworks they produce, even so far as to imagine that the artworks are “created” by the AI in the copyright sense of the word. Not so.

The U.S. Copyright Office recently issued guidance on the copyrightability of works produced using generative AI tools. The Office has accepted the narrative that AI tools perform the steps of authorship, conceiving of the …

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 …

Ai-Ip? Copyright In An Age Of Internet Propaganda With Artificial Intelligence, Sonya Saepoff

Cybaris®

No abstract provided.

The Author-Ity Of Ai: Navigating The Legal Landscape Of Artificial Intelligence Authorship, John R. Sepúlveda

Touro Law Review

This Article discusses the problems that arise when trying to protect works that involve generative AI. It will detail how authorship currently is interpreted under U.S. law and how the courts and the U.S. Copyright Office interpret the authorship requirement. This Article will also present some practical tips on how to navigate current U.S. law and obtain a copyright registration.

Ai, Artists, And Anti-Moral Rights, Derek E. Bambauer, Robert W. Woods

UF Law Faculty Publications

Generative artificial intelligence (AI) tools are increasingly used to imitate the distinctive characteristics of famous artists, such as their voice, likeness, and style. In response, legislators have introduced bills in Congress that would confer moral rights protections, such as control over attribution and integrity, upon artists. This Essay argues such measures are almost certain to fail because of deep-seated, pervasive hostility to moral rights measures in U.S. intellectual property law. It analyses both legislative measures and judicial decisions that roll back moral rights, and explores how copyright’s authorship doctrines manifest a latent hostility to these entitlements. The Essay concludes with …

Do Ais Dream Of Electric Boards?, Robert J. Rhee

UF Law Faculty Publications

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 AI with the status of legal personhood, as it did with the personhood of 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 …

An Exacerbated Power Imbalance: The Danger In Allowing Ai To Render Arbitral Awards In Employment Arbitration, Elizabeth G. Stein

Mitchell Hamline Law Review

No abstract provided.

Establishing A Future-Proof Framework For Ai Regulation: Balancing Ethics, Transparency, And Innovation, Marcia Narine Weldon, Gabrielle Thomas, Lauren Skidmore

Transactions: The Tennessee Journal of Business Law

No abstract provided.

The Right To A Glass Box: Rethinking The Use Of Artificial Intelligence In Criminal Justice, Brandon L. Garrett, Cynthia Rudin

Faculty Scholarship

Artificial intelligence (“AI”) increasingly is used to make important decisions that affect individuals and society. As governments and corporations use AI more pervasively, one of the most troubling trends is that developers so often design it to be a “black box.” Designers create AI models too complex for people to understand or they conceal how AI functions. Policymakers and the public increasingly sound alarms about black box AI. A particularly pressing area of concern has been criminal cases, in which a person’s life, liberty, and public safety can be at stake. In the United States and globally, despite concerns that …

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 …

How Can Law Enforcement Use Technology To Protect Citizens Justly?, Zach Kantenwein

Emerging Writers

This paper explores the danger of emerging artificial intelligence technology perpetuating racial injustice in law enforcement and how police can ensure the protection of citizens amid this information age. We dissect a real-world case in which AI predictive policing technology resulted in alarming racial discrimination against American minority citizens. We discuss the possible explanations for this result and explore the limitations of artificial intelligence technology. Furthermore, we brainstorm methods for ensuring American citizens' just and constitutional protection as new technology is developed and tested. We propose implementing transparency laws that make the details about any policing technology and surveillance available …

Ai-Based Evidence In Criminal Trials?, Sabine Gless, Fredric I. Lederer, Thomas Weigend

Faculty Publications

Smart devices are increasingly the origin of critical criminal case data. The importance of such data, especially data generated when using modern automobiles, is likely to become even more important as increasingly complex methods of machine learning lead to AI-based evidence being autonomously generated by devices. This article reviews the admissibility of such evidence from both American and German perspectives. As a result of this comparative approach, the authors conclude that American evidence law could be improved by borrowing aspects of the expert testimony approaches used in Germany’s “inquisitorial” court system.

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.