Science and Technology Law Commons^™

Is The Use Of Artificial Intelligence In Alternative Dispute Resolution A Viable Option Or Wishful Thinking?, Samuel D. Hodge Jr.

Pepperdine Dispute Resolution Law Journal

This article delves into the evolving relationship between artificial intelligence (AI) and the legal profession, particularly in the context of alternative dispute resolution (ADR). The introduction sets the stage by highlighting AI's transformative potential in reshaping legal practice through automation, efficiency, and data-driven insights. While acknowledging the uncertainty surrounding AI's long-term impact on the legal landscape, it emphasizes the need for investigation and adaptation as the technology evolves. Key considerations, such as AI technology's limitations, regulatory challenges, and ethical implications, are also addressed. Despite the promises of efficiency and accessibility, questions remain about AI's ability to replicate human reasoning and …

Granting Legal Personality To Artificial Intelligences In Brazil’S Legal Context: A Possible Solution To The Copyright Limbo, Victor Habib Lantyer

University of Miami International and Comparative Law Review

This Article investigates the feasibility and consequences of granting legal personality to Artificial Intelligences (AIs) in the context of Brazilian law, with a special focus on copyright law. It conducts a thorough analysis of how such a grant can enhance legal security and encourage innovation in AI technologies. Through an integrative review of the literature and a comparative analysis of national and international legislation and jurisprudence, the study explores the implications of this legislative innovation. This Article highlights the importance of legal clarity for companies and investors in the AI sector, emphasizing that granting legal personality to AIs can simplify …

How Artificial Intelligence Can Be Properly Used By In-House Counsel, Michael Pastor

Other Publications

With all of AI's potential benefits, and there will likely be more down the line unknown to us, it’s imperative to understand the risks inherent in using these tools.

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.

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 …

Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin

Seattle University Law Review

Artificial intelligence (AI) and other new technologies are increasingly influencing the operations, business models, and structures of companies. This Article focuses on three emerging phenomena that impact significant aspects of corporate governance and regulation: (1) perforation and blurring of firm boundaries through the ubiquitous use of externally provided AI services; (2) businesses engaging in strategic access and leveraging of critical resources held by third parties without owning them; and (3) the unusual hybrid role of online platforms between market facilitators and markets themselves. The Article explores how these phenomena challenge traditional views of firms as separate units, with technology leading …

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 …

Less Discriminatory Algorithms, Pauline Kim, Emily Black, John Logan Koepke, Solon Barocas, Mingwei Hsu

Scholarship@WashULaw

Entities that use algorithmic systems in traditional civil rights domains like housing, employment, and credit should have a duty to search for and implement less discriminatory algorithms (LDAs). Why? Work in computer science has established that, contrary to conventional wisdom, for a given prediction problem there are almost always multiple possible models with equivalent performance—a phenomenon termed model multiplicity. Critically for our purposes, different models of equivalent performance can produce different predictions for the same individual, and, in aggregate, exhibit different levels of impacts across demographic groups. As a result, when an algorithmic system displays a disparate impact, model multiplicity …

Kafka In The Age Of Ai And The Futility Of Privacy As Control, Daniel Solove, Woodrow Hartzog

Faculty Scholarship

Despite writing more than a century ago, Franz Kafka captured the core problem of digital technologies—how individuals are rendered powerless and vulnerable. Over the past fifty years, and especially in the twenty-first century, privacy laws have been sprouting up around the world. These laws are often based heavily on an Individual Control Model that aims to empower individuals with rights to help them control the collection, use, and disclosure of their data.

In this Article, we argue that although Kafka starkly shows us the plight of the disempowered individual, his work also paradoxically suggests that empowering the individual isn’t the …

Large Language Models: Ai's Legal Revolution, Adam Allen Bent

Pace Law Review

This article contemplates and advocates for the use of Artificial Intelligence (“AI”) through Large Language Models (“LLM”) in legal practice. The author ultimately addresses the need to orient LMMs within varying legal contexts including academia, private practice, as well as the U.S. court system. Additionally, the author emphasizes the inevitability of AI and LLM systems infiltrating legal practice, and the reality that the industry must acknowledge and accept these systems to regulate and to provide better while still ethical legal services. Large Language Models: AI’s Legal Revolution, begins by walking the reader through the history of technological innovation of AI, …

The Gptjudge: Justice In A Generative Ai World, Maura R. Grossman, Paul W. Grimm, Daniel G. Brown, Molly (Yiming) Xu

Duke Law & Technology Review

Generative AI (“GenAI”) systems such as ChatGPT recently have developed to the point where they can produce computer-generated text and images that are difficult to differentiate from human-generated text and images. Similarly, evidentiary materials such as documents, videos, and audio recordings that are AI-generated are becoming increasingly difficult to differentiate from those that are not AI-generated. These technological advancements present significant challenges to parties, their counsel, and the courts in determining whether evidence is authentic or fake. Moreover, the explosive proliferation and use of GenAI applications raises concerns about whether litigation costs will dramatically increase as parties are forced to …

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 …

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 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” - …

On Facial Recognition, Regulation, And "Data Necropolitics", Antonio Pele, Caitlin Mulholland

Indiana Journal of Global Legal Studies

This paper argues for actual and legal regulation of artificial intelligence (AI) and facial recognition. These new technologies represent great opportunities to improve the welfare of societies. However, some of their uses can also enhance discrimination and, eventually, lead to violence. From a comparative approach (examining the European Union and Brazil), we address the current and future aspects of facial regulation, AI, and personal data. This paper shows that regulation is relevant to protect the rule of law, free markets, and individual freedoms. It also examines the looming risks unfolding from the unregulated uses of new technologies. Our concept of …

Judicial Deference To Agency Action Based On Ai, Cade Mallett

Catholic University Journal of Law and Technology

No abstract provided.

Artificial Intelligence In Government: Risks And Challenges Of Algorithmic Governance In The Administrative State, Jose Vida Fernandez

Indiana Journal of Global Legal Studies

This article analyzes the legal implications of using artificial intelligence in government and how it is challenging the foundations of the administrative state. It begins by demonstrating that a new model of government is emerging, based on information and intelligence (i-Gov). To understand the nature and scope of this new i-Gov model, this article will explain what artificial intelligence really is and analyze the applications that are currently being carried out in the US and the EU. Next, it will review the regulatory framework that is emerging that regulates government use of artificial intelligence in both the US and the …

Neurorights And New Charts Of Digital Rights: A Dialogue Beyond The Limits Of The Law, Rafael Yuste

Indiana Journal of Global Legal Studies

In this article, the authors address some of the most pressing issues that stem from the relationship between the technological advancements of the twenty-first century and legal regulation. The development of neurotechnology and artificial intelligence (AI), while offering considerable opportunities for the betterment of social life, also poses unprecedented risks. These challenges manifest in a wide variety of topics. Areas such as human rights treaties, antitrust law, property law, and labor law are affected by these developments. The risks associated with the unregulated use of neurotechnology and AI do not cease at the sectorial stage. Some of the values upon …

Trust In Artificial Intelligence: Analysis Of The European Commission Proposal For A Regulation Of Artificial Intelligence, Antonio Estella

Indiana Journal of Global Legal Studies

I shall start by reflecting on the importance that trust has for society (section 2). From there, I will define what is to be understood in this paper by trust (section 3). I shall then review the basis of trust (section 4) and shall make a reference to the main sources of evidence on trust (like, surveys and laboratory experiments), and to some of the results that these sources reveal on interpersonal and institutional trust (section 5). In the next section (section 6), I shall go on to analyse specifically the issue of trust in AI, will refer to the …

Government By Algorithms At The Light Of Freedom Of Information Regimes: A Case-By-Case Approach On Adm Systems Within Public Education Sector, María Estrella Gutierrez

Indiana Journal of Global Legal Studies

What the Houston Court qualified as “mysterious ‘black box’ impervious to challenge” was in practice a sophisticated software of many layers of calculations, which rated teachers’ effectiveness to make employment decisions. In the European Union, a system as such would fall under the Proposal for AI Regulation of 2021, which qualifies AI models in education and vocational training as “high-risk” systems. Automated decision-making systems (ADM systems), AI-driven or not, are being increasingly used by governments in public education for different purposes, such as handling applications for undergraduate admission or profiling students and teachers to assess their performance. Across cases and …

Supervision Of Artificial Intelligence In The Eu And The Protection Of Privacy, Johanna Chamberlain, Jane Reichel

FIU Law Review

No abstract provided.

The Need For Curtains Of The Soul: Privacy Versus Transparency In The Instrumented World Of Algorithmic Artificial Intelligence, Michael Martin Losavio

FIU Law Review

We approach a privacy singularity in pervasive data collection and inference that may reveal all about our lives. While privacy might not yet be dead, we struggle to maintain its shield for personal autonomy. Part of this contemporary challenge comes from the massive data sets generated every day everywhere. And then the powerful analytics that reveal all. This is further challenged by efforts at data transparency that may reveal too much of one’s life. Preservation of privacy, if we deem it important enough to preserve, must have a robust set of technical and legislative implementations on collection, storage, transmission and …

Evolving Privacy Protections For Emerging Machine Learning Data Under Carpenter V. United States, Emily Nicolella

FIU Law Review

The Fourth Amendment’s third-party doctrine eliminates an individual’s reasonable expectation of privacy in information they willingly turn over to third parties. Government scrutiny of this information is not considered a search under the Fourth Amendment and is therefore not given constitutional protections. In the 2018 case Carpenter v. United States, the Supreme Court created an exception to the third-party doctrine. In Carpenter, a case involving the warrantless use of cell site location information (CSLI) in a criminal investigation, the Court held that individuals do have a reasonable expectation of privacy regarding CSLI. According to Chief Justice Roberts, despite the necessary …

The Ethics Of Artificial Intelligence In Legal Advocacy, Elissa Germaine

Faculty Publications

(Excerpt)

The use of AI in our personal and professional lives has entered the public consciousness over the past several months. The legal profession and the securities industry are no exception. This article begins to explore the use of open source generative AI in legal advocacy, and the related ethical implications for securities arbitration practitioners.

Studies have corroborated the impact of AI on the legal profession that many of us have been seeing in practice or hearing and reading about. A Goldman Sachs study predicted that the legal profession will be one of the most likely areas to be impacted …

Comments Of The Cordell Institute On Ai Accountability, Neil M. Richards, Woodrow Hartzog, Jordan Francis

Scholarship@WashULaw

These comments are a response to the National Telecommunications and Information Administration's 2023 request for comment on AI accountability (AI Accountability RFC, NTIA–2023–0005).

Responding to NTIA’s recent inquiry into AI assurance and accountability, we offer two main arguments regarding the importance of substantive legal protections. First, a myopic focus on concepts of transparency, bias mitigation, and ethics (for which procedural compliance efforts such as audits, assessments, and certifications are proxies) is insufficient when it comes to the design and implementation of accountable AI systems. We call rules built around transparency and bias mitigation “AI half-measures,” because they provide the appearance …

Natural Language Processing In Legal Tech, Jens Frankenreiter, Julian Nyarko

Scholarship@WashULaw

Natural language processing techniques promise to automate an activity that lies at the core of many tasks performed by lawyers, namely the extraction and processing of information from unstructured text. The relevant methods are thought to be a key ingredient for both current and future legal tech applications. This chapter provides a non-technical overview of the current state of NLP techniques, focusing on their promise and potential pitfalls in the context of legal tech applications. It argues that, while NLP-powered legal tech can be expected to outperform humans in specific categories of tasks that play to the strengths of current …

Thaler V. Vidal: Artificial Intelligence—Can The Invented Become The Inventor?, Michelle Lavrichenko

Cardozo Law Review

No abstract provided.

Information Privacy And The Inference Economy, Alicia Solow-Niederman

Northwestern University Law Review

Information privacy is in trouble. Contemporary information privacy protections emphasize individuals’ control over their own personal information. But machine learning, the leading form of artificial intelligence, facilitates an inference economy that pushes this protective approach past its breaking point. Machine learning provides pathways to use data and make probabilistic predictions—inferences—that are inadequately addressed by the current regime. For one, seemingly innocuous or irrelevant data can generate machine learning insights, making it impossible for an individual to anticipate what kinds of data warrant protection. Moreover, it is possible to aggregate myriad individuals’ data within machine learning models, identify patterns, and then …

Regulation Of Health-Related Artificial Intelligence In Medical Devices: The Canadian Story, Michael Da Silva, Colleen M. M. Flood, Matthew Herder

Articles, Book Chapters, & Popular Press

Artificial Intelligence (AI) may transform Canadian healthcare. The hope is that AI will enable more accurate and efficient care, thereby solving many access, quality, and safety problems. Yet, despite this tantalizing prospect, there are risks of unsafe AI harming patients, algorithmic bias, and threats to privacy. This work begins analysis of whether applicable Canadian laws are up to the task of ensuring Canadians can benefit from effective health-related AI while minimizing AI-related risks. It focuses on Health Canada’s regulation of medical devices, a ‘first line of defence’ that decides which devices are safe, effective, and thus permitted for trade in …