Law Commons^™

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.

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 …

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

Publications

No abstract provided.

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.

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 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” - …

Humans In The Loop, Nicholson Price Ii, Rebecca Crootof, Margot Kaminski

Articles

From lethal drones to cancer diagnostics, humans are increasingly working with complex and artificially intelligent algorithms to make decisions which affect human lives, raising questions about how best to regulate these “human in the loop” systems. We make four contributions to the discourse.

First, contrary to the popular narrative, law is already profoundly and often problematically involved in governing human-in-the-loop systems: it regularly affects whether humans are retained in or removed from the loop. Second, we identify “the MABA-MABA trap,” which occurs when policymakers attempt to address concerns about algorithmic incapacities by inserting a human into decision making process. Regardless …

Regulating The Risks Of Ai, Margot E. Kaminski

Publications

Companies and governments now use Artificial Intelligence (“AI”) in a wide range of settings. But using AI leads to well-known risks that arguably present challenges for a traditional liability model. It is thus unsurprising that lawmakers in both the United States and the European Union (“EU”) have turned to the tools of risk regulation in governing AI systems.

This Article describes the growing convergence around risk regulation in AI governance. It then addresses the question: what does it mean to use risk regulation to govern AI systems? The primary contribution of this Article is to offer an analytic framework for …

Naïve Realism, Cognitive Bias, And The Benefits And Risks Of Ai, Harry Surden

Publications

In this short piece I comment on Orly Lobel's book on artificial intelligence (AI) and society "The Equality Machine." Here, I reflect on the complex topic of aI and its impact on society, and the importance of acknowledging both its positive and negative aspects. More broadly, I discuss the various cognitive biases, such as naïve realism, epistemic bubbles, negativity bias, extremity bias, and the availability heuristic, that influence individuals' perceptions of AI, often leading to polarized viewpoints. Technology can both exacerbate and ameliorate these biases, and I commend Lobel's balanced approach to AI analysis as an example to emulate.

Although …

Humans In The Loop, Rebecca Crootof, Margot E. Kaminski, W. Nicholson Price Ii

Publications

From lethal drones to cancer diagnostics, humans are increasingly working with complex and artificially intelligent algorithms to make decisions which affect human lives, raising questions about how best to regulate these "human-in-the-loop" systems. We make four contributions to the discourse.

First, contrary to the popular narrative, law is already profoundly and often problematically involved in governing human-in-the-loop systems: it regularly affects whether humans are retained in or removed from the loop. Second, we identify "the MABA-MABA trap," which occurs when policymakers attempt to address concerns about algorithmic incapacities by inserting a human into a decision-making process. Regardless of whether the …

Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon

Faculty Scholarship

The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …

Gauging The Acceptance Of Contact Tracing Technology: An Empirical Study Of Singapore Residents’ Concerns With Sharing Their Information And Willingness To Trust, Ee-Ing Ong, Wee Ling Loo

Research Collection Yong Pung How School Of Law

In response to the COVID-19 pandemic, governments began implementing various forms of contact tracing technology. Singapore’s implementation of its contact tracing technology, TraceTogether, however, was met with significant concern by its population, with regard to privacy and data security. This concern did not fit with the general perception that Singaporeans have a high level of trust in its government. We explore this disconnect, using responses to our survey (conducted pre-COVID-19) in which we asked participants about their level of concern with the government and business collecting certain categories of personal data. The results show that respondents had less concern with …

Crossing The Rubicon: Evaluating The Use Of Artificial Intelligence In The Law And Singapore Courts, Ming En Tor

Research Collection Yong Pung How School Of Law

In recent years, Artificial Intelligence (“AI”) has challenged many fundamental assumptions of how organisations and industries should operate. The Courts, traditionally seen as a hallowed ground graced by the best of lawyers, still remains as unchartered territory for AI’s infiltration. Yet, there is growing evidence which suggest AI may soon cross this frontier to replace important court functions.

This paper critically assesses the use of AI in law and the courts. Part II will first examine the arguments for and against the adoption of AI in the legal profession. Thereafter, Part III will critically examine whether AI should …

Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen

Law & Economics Working Papers

While artificial intelligence has substantial potential to improve medical practice, errors will certainly occur, sometimes resulting in injury. Who will be liable? Questions of liability for AI-related injury raise not only immediate concerns for potentially liable parties, but also broader systemic questions about how AI will be developed and adopted. The landscape of liability is complex, involving health-care providers and institutions and the developers of AI systems. In this chapter, we consider these three principal loci of liability: individual health-care providers, focused on physicians; institutions, focused on hospitals; and developers.

Homography Of Inventorship: Dabus And Valuing Inventors, Jordana Goodman

Faculty Scholarship

On July 28, 2021, the Device for the Autonomous Bootstrapping of Unified Sentience ("DAB US") became the first computer to be recognized as a patent inventor. Due to the advocacy of DAB US's inventor, Dr. Stephen Thaler, the world's definition of "inventor" has finally fractured - dividing patent regimes between recognition of machine inventorship and lack thereof This division has sparked many scholarly conversations about inventorship contribution, but none have discussed the implications of a homographic inventorship.

This Article addresses the implications of international homographic inventorship - where countries have different notions and rules concerning patent inventorship - and the …

Modeling Through, Ryan Calo

Articles

Theorists of justice have long imagined a decision-maker capable of acting wisely in every circumstance. Policymakers seldom live up to this ideal. They face well-understood limits, including an inability to anticipate the societal impacts of state intervention along a range of dimensions and values. Policymakers cannot see around corners or address societal problems at their roots. When it comes to regulation and policy-setting, policymakers are often forced, in the memorable words of political economist Charles Lindblom, to “muddle through” as best they can.

Powerful new affordances, from supercomputing to artificial intelligence, have arisen in the decades since Lindblom’s 1959 article …

A Human Being Wrote This Law Review Article: Gpt-3 And The Practice Of Law, Amy B. Cyphert

Law Faculty Scholarship

Artificial intelligence tools can now “write” in such a sophisticated manner that they fool people into believing that a human wrote the text. None are better at writing than GPT-3, released in 2020 for beta testing and coming to commercial markets in 2021. GPT-3 was trained on a massive dataset that included scrapes of language from sources ranging from the NYTimes to Reddit boards. And so, it comes as no surprise that researchers have already documented incidences of bias where GPT-3 spews toxic language. But because GPT-3 is so good at “writing,” and can be easily trained to write in …

The Promises And Perils Of Robo-Advisers: Challenges And Regulatory Approaches, Aurelio Gurrea-Martinez, Wai Yee Wan

Research Collection Yong Pung How School Of Law

Artificial intelligence is changing the operation and business model of many intermediaries in financial markets. Investing through online automated platforms, known as robo-advisers, is becoming very popular worldwide. In fact, some studies estimate that robo-advisers will be managing USD 4.6 trillion by 2022. This chapter analyses the promises and perils of robo-advice, as well as the challenges and regulatory responses adopted in various countries and regions around the world, including the United States, the United Kingdom, the European Union, Australia, Hong Kong, Mainland China, and Singapore. It will conclude by showing that, despite the existence of various legal and challenges …

Medical Device Artificial Intelligence: The New Tort Frontier, Charlotte A. Tschider

Faculty Publications & Other Works

The medical device industry and new technology start-ups have dramatically increased investment in artificial intelligence (AI) applications, including diagnostic tools and AI-enabled devices. These technologies have been positioned to reduce climbing health costs while simultaneously improving health outcomes. Technologies like AI-enabled surgical robots, AI-enabled insulin pumps, and cancer detection applications hold tremendous promise, yet without appropriate oversight, they will likely pose major safety issues. While preventative safety measures may reduce risk to patients using these technologies, effective regulatory-tort regimes also permit recovery when preventative solutions are insufficient.

The Food and Drug Administration (FDA), the administrative agency responsible for overseeing the …

Technology And The (Re)Construction Of Law, Christian Sundquist

Articles

Innovative advancements in technology and artificial intelligence have created a unique opportunity to re-envision both legal education and the practice of law. The COVID-19 pandemic has accelerated the technological disruption of both legal education and practice, as remote work, “Zoom” client meetings, virtual teaching, and online dispute resolution have become increasingly normalized. This essay explores how technological innovations in the coronavirus era are facilitating radical changes to our traditional adversarial system, the practice of law, and the very meaning of “legal knowledge.” It concludes with suggestions on how to reform legal education to better prepare our students for the emerging …

Submission To Canadian Government Consultation On A Modern Copyright Framework For Ai And The Internet Of Things, Sean Flynn, Lucie Guibault, Christian Handke, Joan-Josep Vallbé, Michael Palmedo, Carys Craig, Michael Geist, Joao Pedro Quintais

Reports & Public Policy Documents

We are grateful for the opportunity to participate in the Canadian Government’s consultation on a modern copyright framework for AI and the Internet of Things. Below, we present some of our research findings relating to the importance of flexibility in copyright law to permit text and data mining (“TDM”). As the consultation paper recognizes, TDM is a critical element of artificial intelligence. Our research supports the adoption of a specific exception for uses of works in TDM to supplement Canada’s existing general fair dealing exception.

Empirical research shows that more publication of citable research takes place in countries with “open” …

A Modern Copyright Framework For Artificial Intelligence: Ip Scholars' Joint Submission To The Canadian Government Consultation, Carys Craig, Bita Amani, Sara Bannerman, Céline Castets-Renard, Pascale Chapdelaine, Lucie Guibault, Gregory R. Hagen, Cameron J. Hutchison, Ariel Katz, Alexandra Mogyoros, Graham Reynolds, Anthony D. Rosborough, Teresa Scassa, Myra Tawfik

Reports & Public Policy Documents

In response to the Canadian government consultation process on the modernization of the copyright framework launched in the summer 2021, we hereby present our analysis and recommendations concerning the interaction between copyright and artificial intelligence (AI). The recommendations herein reflect the shared opinion of the intellectual property scholars who are signatories to this brief. They are informed by many combined decades of study, teaching, and practice in Canadian and international intellectual property law.

In what follows, we explain:
- The importance of approaching the questions raised in the consultation with a firm commitment to maintaining the appropriate balance of rights …

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

Book Review, Aamir S. Abdullah

Publications

No abstract provided.

The Right To Contest Ai, Margot E. Kaminski, Jennifer M. Urban

Publications

Artificial intelligence (AI) is increasingly used to make important decisions, from university admissions selections to loan determinations to the distribution of COVID-19 vaccines. These uses of AI raise a host of concerns about discrimination, accuracy, fairness, and accountability.

In the United States, recent proposals for regulating AI focus largely on ex ante and systemic governance. This Article argues instead—or really, in addition—for an individual right to contest AI decisions, modeled on due process but adapted for the digital age. The European Union, in fact, recognizes such a right, and a growing number of institutions around the world now call for …

Facial Recognition And The Fourth Amendment, Andrew Ferguson

Articles in Law Reviews & Other Academic Journals

Facial recognition offers a totalizing new surveillance power. Police now have the capability to monitor, track, and identify faces through networked surveillance cameras and datasets of billions of images. Whether identifying a particular suspect from a still photo, or identifying every person who walks past a digital camera, the privacy and security impacts of facial recognition are profound and troubling.

This Article explores the constitutional design problem at the heart of facial recognition surveillance systems. One might hope that the Fourth Amendment – designed to restrain police power and enacted to limit governmental overreach – would have something to say …