Science and Technology Law Commons^™

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

West Virginia Law Review

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 …

Ai And Law Milestones: From Top-Down To Bottom-Up Computational Models Of Legal Reasoning (And Back), Kevin Ashley

West Virginia Law Review

This Article introduces five research and development milestones in the field of Artificial Intelligence and Law and then discusses how large language models (“LLMs”) and generative AI (“GenAI”) are affecting each of them. The milestones include legal expert systems, lessons learned in computationally modeling legal rules and statutes, knowledge-based models of legal argument, machine learning models that classify case texts and predict outcomes, and the design and evaluation of legal applications of LLMs and GenAI. These milestones illustrate how top-down knowledge-based computational models of legal expertise have rapidly given way to bottom-up models based on machine learning. Knowledge-based models explicitly …

Artificial Intelligence And Machine Learning Improving The Livelihood Of Individuals With Disabilities In Various Capacities, Daveon Lilly

West Virginia Law Review

Artificial Intelligence (“AI”) and Machine Learning (“ML”) are swiftly reshaping accessibility for individuals with disabilities, offering fresh opportunities for inclusion in education, the workplace, and daily life. This Note explores the integration of AI and ML into assistive technologies and discusses how this integration bolsters access and independence for people with various disabilities. It also examines the legal frameworks, including the Americans with Disabilities Act (“ADA”) and the Rehabilitation Act of 1973 (“Rehabilitation Act”), that govern the implementation of these technologies and address challenges such as algorithmic bias, data privacy, and the digital divide. While AI and ML have made …

Training New Lawyers With And For Generative Ai: A Semester-Long Experiment Scaling Clinical Friction In The Doctrinal Classroom, Frank W. Volk

West Virginia Law Review

No abstract provided.

Augmented Advocacy: Ethical Constraints And Regulatory Gaps In Ai-Driven Legal Practice, Molly M. Rowlands

West Virginia Law Review

The rapid advancement of artificial intelligence (“AI”) and particularly generative AI (“Gen AI”) is reshaping the legal profession in unprecedented ways. AI-powered tools enhance efficiency, improve accuracy in legal analysis, and expand access to justice by automating research, contract review, litigation support, and predictive analytics. However, these benefits come with significant ethical, regulatory, and procedural challenges, including competency concerns and AI “hallucinations,” data confidentiality risks, algorithmic bias, and the environmental impact of AI-driven computing. This Note critically examines the evolving role of AI in legal practice and evaluates the inadequacies of existing regulatory frameworks—such as Rule 11 of the Federal …

Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger

Honors Undergraduate Theses

This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …

The Obverse-Turing Test: Rethinking Authorship, Trust, And Time In An Accelerated Age, Michael J. Miller, Chatgpt (Ai~Nesbo+)

Psychology

In this paper, we propose a new test for scientific accountability in the era of artificial intelligence: the Obverse Turing Test for Authorship. While the traditional Turing test focuses on a machine's ability to mimic human intelligence, our test addresses the question: when should a scientific contribution involving artificial intelligence be attributed joint authorship? We argue that more and more authors are using AI in the idea generation and elaboration stages of their work, but rarely acknowledge this use explicitly. To examine this gap, we analyze examples of human–AI interactions across fields and propose a new approach to authorship based …

Data Rights For Workers, Pauline Kim, Rachel Leavitt

Scholarship@WashULaw

Workers are subject to immense amounts of data collection on the job, and the algorithmic management tools built with that data can produce negative effects, including deskilling jobs, unstable work hours, reduced wages, and dangerous and degrading working conditions. Workers thus have significant interests how their data are collected and used, and yet they have been excluded from nearly all the recently enacted or proposed data protection laws. Their exclusion stems from data protection’s roots in privacy law and theory, which primarily focused on consumers as data subjects. Current data protection laws, even if expanded to cover workers, would provide …

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, …

Attorneys And Ai: How Lawyers Use Artificial Intelligence And Analyze Its Impacts, Matthew I. Hall, Christian Turner, Eddie A. Gomez Schieber, Nathaniel Kite, Ari Schlesinger

Scholarly Works

AI systems are testing lawyers' professional ethics obligations of competence, confidentiality, and candor. In the legal profession, the widespread availability of AI systems presents opportunities, like improving the review of documents during the discovery stage of a lawsuit, and challenges, illustrated by the handful of high-profile incidents where lawyers submitted legal briefs in court citing and describing fictitious cases based on AI-generated output. We conducted interviews with 44 legal professionals in the U.S. to understand how attorneys are making sense of AI technology and the impacts these technologies are having on their profession, legal ethics, and legal institutions. We describe …

Inside Ai, Charles Duan

Contributions to Books

It is beautiful, the Mandelbrot set. In full, it resembles a horseshoe crab or a sideways Rorschach test, flecked with patterns of spikes and lobes. Zooming in at any point near its edge reveals infinite depths of swirls, reminiscent of Van Gogh’s Starry Night or an intricate paisley textile. The shape could easily hang on a wall, an example of fine abstract art. Yet the entirety of that shape can be computed by repeated application of a simple mathematical function:2 f(x) = x2 + c. Is all the beauty and complexity of the Mandelbrot set “inside” the symbols …

Playing To Win: The Use Of Export Controls To Address Non-Military Strategic Competition, Joshua Angelo

Duke Law & Technology Review

Technology and national security have been intimately related throughout American history. Over the past eighty-five years, the United States has increasingly made use of export controls to prevent adversarial countries from using the fruits of its technological advancement to strengthen their militaries and harm American interests. Today, strategic competition with the People’s Republic of China involves a myriad of technologies which present risks outside of, as well as within, the military context. Chinese exports of technologies, including artificial intelligence, quantum computing, and 5G communications, can promote the country’s authoritarian model abroad, enable economic coercion, and help to enrich the regime. …

Autonomous Vehicles: Security And Privacy Concerns, Christopher Z. Shiu

Senior Honors Theses

The rapid development of self-driving vehicles provides many benefits. Even then, there are various security and privacy concerns that must be addressed. Autonomous vehicles are dependent on advanced machine learning systems in order to communicate. However, concerns about cyber threats and the misuse of data are not studied adequately enough. With the integration of technical and human factors, these developments can address communication and regulatory compliance weaknesses to offer safer implementations to autonomous vehicles. It is only after understanding these challenges, can strategies be developed to counteract threats. As artificial intelligence continues to evolve, autonomous vehicles have the potential to …

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 …

The Ai-Copyright Trap, Carys Craig

All Papers

As AI tools proliferate, policy makers are increasingly being called upon to protect creators and the cultural industries from the extractive, exploitative, and even existential threats posed by generative AI. In the haste to act, however, they risk running headlong into the Copyright Trap: the mistaken conviction that copyright law is the best tool to support human creators and culture in our new technological reality, when in fact it is likely to do more harm than good. This is a trap in the sense that it may satisfy the wants of a small group of powerful stakeholders, but it will …

Algorithmic Governance And Nondiscrimination Rights In The Workplace, Pauline Kim

Scholarship@WashULaw

This chapter analyzes existing legal responses to the problem of discriminatory algorithms in the workplace. As firms increasingly rely on algorithms or automated decision systems, a type of artificial intelligence, to manage their workforces, concerns have grown that these tools can systematically exclude historically disadvantaged groups. One response is to rely on traditional anti-discrimination law. These laws clearly prohibit certain forms of algorithmic discrimination; however, the complex, opaque nature of algorithms makes identifying and proving discriminatory harms challenging. Another response looks to broader frameworks of data protection and algorithmic regulation to protect against workplace discrimination. These initiatives are promising, but …

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 …

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 …

Wear Your Heart On Your Sleeve, Whether You Like It Or Not: How Federal Regulation Can Address Advances In Biometric Technology, Greg Marcus

University of Miami Business Law Review

The use of biometric data for identification and authentication has become a common practice for people and businesses across the world. While these technologies offer a promising means of enhanced security, the emergence of artificial intelligence and machine learning has enabled the analysis of biometric data to reveal some of our most intimate personal information from simple physical characteristics. The rapid advancement of this technology has brought the issue of regulation to the forefront of discussions in both Congress and state legislatures. Accordingly, many states have proposed, and in several instances passed legislation specifically regulating the collection of biometric data. …

Attributing Ai Authorship: Towards A System Of Icons For Legal And Ethical Disclosure, Joseph J. Avery, Patricia Sánchez Abril, Alissa Del Riego

Northwestern Journal of Technology and Intellectual Property

Over the past year, the pervasive role of large language models (LLMs) and artificial intelligence (AI) in text generation has precipitated concerns about ethical usage, authorship, and transparent attribution. This has been true in legal practice, academia, and the corporate world, as well as in countless other arenas. In this Article, we identify the gap that has opened between those demanding proper disclosure (we should know when and to what extent AI is an author) and those struggling to respond to these demands. Part of the problem is that there is no system in place, no lingua franca, no set …

Between Copyright And Computer Science: The Law And Ethics Of Generative Ai, Devin R. Desai, Mark Riedl

Northwestern Journal of Technology and Intellectual Property

Copyright and computer science continue to intersect and clash, but they can coexist. The advent of new technologies such as digitization of visual and aural creations, sharing technologies, search engines, social media offerings, and more, challenge copyright-based industries and reopen questions about the reach of copyright law. Breakthroughs in artificial intelligence research, especially Large Language Models that leverage copyrighted material as part of training, are the latest examples of the ongoing tension between copyright and computer science. The exuberance, rush-to-market, and edge problem cases created by a few misguided companies now raises challenges to core legal doctrines and may shift …

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 …

Gray Advice, Keith Porcaro

Duke Law & Technology Review

Debates over economic protectionism or the technology flavor-of-the-month obscure a simple, urgent truth: people are going online to find help that they cannot get from legal and health professionals. They are being let down, by products with festering trust and quality issues, by regulators slow to apply consumer protection standards to harmful offerings, and by professionals loath to acknowledge changes to how help is delivered. The status quo cannot continue. Waves of capital and code are empowering ever more organizations to build digital products that blur the line between self-help and professional advice. For good or ill, “gray advice” is …

Information Accountability Foundation Names Two Maurer Faculty To Leadership Positions, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

he Information Accountability Foundation (IAF) has appointed two Indiana University Maurer School of Law faculty to lead the organization.

Fred H. Cate, a distinguished professor and C. Ben Dutton Professor of Law, was named the nonprofit think tank’s new executive director, while Stan Crosley, an adjunct faculty member and 1994 graduate of the Law School, was appointed chief policy strategist.

Founded in 2013, the IAF works with global regulators and industry executives to promote organizational accountability, data stewardship, and data ethics. Its mission is to help regulators and responsible companies better understand the challenges around Artificial Intelligence and data governance …

Balancing Interests: Ai, Business & Human Rights, And The Legal Landscape In An Era Of Disruption, Jena Martin, Ritu Narula

West Virginia Law Review

On October 30, 2023, the Biden Administration issued a sweeping executive order espousing a policy to advance the development and use of artificial intelligence (“AI”) while also establishing safeguards across the federal government. The Executive Order marked the U.S. government’s largest move forward related to the regulation of AI. The Order also represents the government’s latest effort to advance equity, privacy, and national security in the use of AI systems. Moreover, the Order comes at a time when governments around the world are wrestling with the impact of AI and its disruptive effect, not just on markets, but on society …

Legal Governance Of Artificial Intelligence In Healthcare Devices And Services In Singapore, Warren B. Chik, Haran Sugumaran

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare applies across a spectrum of goods and services that support the industry. The main benefits of developing and applying AI to healthcare are: (a) the potential for it to perform functions beyond what can be done manually by the natural person; (b) the greater efficiency and accuracy that it can give to detection, diagnosis and medication/recovery; (c) the minimisation of risk and the possible lowering of cost (in the long term); and (d) in appropriate cases, minimal human intervention or involvement, especially in situations or conditions that may present a risk of …

Generative Artificial Intelligence: The Protection Of Personal Data And Countering False Narratives About The Person, Warren B. Chik

Research Collection Yong Pung How School Of Law

Generative artificial intelligence (“Gen AI”) has rapidly become ubiquitous on online platform services, from chatbots and virtual assistants to search engines and social media. This generated concerns over potentially harmful effects from its use in both social and professional settings, including the added threats to personal data privacy and accuracy of personal information. In this article, the author will explain how Gen AI operates and why it gives rise to these issues, examine the policy and law relating to Gen AI, both existent and anticipated, and suggest possible solutions to the problems in the form of legal and non-legal measures.