Law Commons^™

New Tech, Old Problem: The Rise Of Virtual Rent-To-Own Agreements, Carrie Floyd

Fellow, Adjunct, Lecturer, and Research Scholar Works

This Article explores how fintech has disrupted the traditional rent-to-own (RTO) industry, giving rise to new, virtual RTO agreements (VirTOs). These VirTOs have enabled the RTO industry to expand into the service industry and to markets for products not traditionally associated with rentals, such as vehicle repairs, pet ownership, and medical devices. This Article analyzes this development.

RTO agreements purport to rent products to a consumer until the conclusion of a set number of renewable rental payments, at which point ownership transfers. The fundamental characteristic of these agreements – and why they are not regulated as loans – are that …

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 …

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 …

How The Blockchain Undermined Digital Ownership, Aaron Perzanowski

Articles

The shift from a market built around the sale of tangible goods to one premised on the licensing of digital content and services has done significant and lasting damage to the notion of individual ownership. The emergence of blockchain technology, while certainly not necessary to reverse these trends, promised an opportunity to attract investment and demonstrate consumer demand for marketplaces that recognize meaningful digital ownership. Simultaneously, it offered an avenue for alleviating worries about hypothetical widespread reproduction and unchecked distribution of copyrighted works. Instead, many of the most visible blockchain projects in recent years—the proliferation of new cryptocurrencies and the …

Open-Source Clinical Machine Learning Models: Critical Appraisal Of Feasibility, Advantages, And Challenges, Keerthi B. Harish, W. Nicholson Price Ii, Yindalon Aphinyanaphongs

Articles

Machine learning applications promise to augment clinical capabilities and at least 64 models have already been approved by the US Food and Drug Administration. These tools are developed, shared, and used in an environment in which regulations and market forces remain immature. An important consideration when evaluating this environment is the introduction of open-source solutions in which innovations are freely shared; such solutions have long been a facet of digital culture. We discuss the feasibility and implications of open-source machine learning in a health care infrastructure built upon proprietary information. The decreased cost of development as compared to drugs and …

The Case For Banning (And Mandating) Ransomware Insurance, Kyle D. Logue, Adam B. Shniderman

Articles

Ransomware attacks are becoming increasingly pervasive and disruptive, resulting in ransom demands becoming more exorbitant. Payments for ransom costs are increasingly being covered by insurance, which may offer coverage for a variety of cyber-related losses. Some commentators have expressed concern over this market phenomenon. Specifically, the concern is that the presence of insurance is making the ransomware problem worse based on the following theory: because there is ransomware insurance that covers ransom payments, and because paying the ransom is often far cheaper than paying the restoration and business interruption costs covered under the policy, there is an increased tendency to …

Ai Insurance: How Liability Insurance Can Drive The Responsible Adoption Of Artificial Intelligence In Health Care, Ariel Dora Stern, Avi Goldfarb, Timo Minssen, W. Nicholson Price Ii

Articles

Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are …

Volume Introduction, I. Glenn Cohen, Timo Minssen, W. Nicholson Price Ii, Christopher Robertson, Carmel Shachar

Other Publications

Medical devices have historically been less regulated than their drug and biologic counterparts. A benefit of this less demanding regulatory regime is facilitating innovation by making new devices available to consumers in a timely fashion. Nevertheless, there is increasing concern that this approach raises serious public health and safety concerns. The Institute of Medicine in 2011 published a critique of the American pathway allowing moderate-risk devices to be brought to the market through the less-rigorous 501(k) pathway,1 flagging a need for increased postmarket review and surveillance. High-profile recalls of medical devices, such as vaginal mesh products, along with reports globally …

Distributed Governance Of Medical Ai, W. Nicholson Price Ii

Law & Economics Working Papers

Artificial intelligence (AI) promises to bring substantial benefits to medicine. In addition to pushing the frontiers of what is humanly possible, like predicting kidney failure or sepsis before any human can notice, it can democratize expertise beyond the circle of highly specialized practitioners, like letting generalists diagnose diabetic degeneration of the retina. But AI doesn’t always work, and it doesn’t always work for everyone, and it doesn’t always work in every context. AI is likely to behave differently in well-resourced hospitals where it is developed than in poorly resourced frontline health environments where it might well make the biggest difference …

New Innovation Models In Medical Ai, W Nicholson Price Ii, Rachel E. Sachs, Rebecca S. Eisenberg

Articles

In recent years, scientists and researchers have devoted considerable resources to developing medical artificial intelligence (AI) technologies. Many of these technologies—particularly those that resemble traditional medical devices in their functions—have received substantial attention in the legal and policy literature. But other types of novel AI technologies, such as those related to quality improvement and optimizing use of scarce facilities, have been largely absent from the discussion thus far. These AI innovations have the potential to shed light on important aspects of health innovation policy. First, these AI innovations interact less with the legal regimes that scholars traditionally conceive of as …

Part I - Ai And Data As Medical Devices, W. Nicholson Price Ii

Other Publications

It may seem counterintuitive to open a book on medical devices with chapters on software and data, but these are the frontiers of new medical device regulation and law. Physical devices are still crucial to medicine, but they – and medical practice as a whole – are embedded in and permeated by networks of software and caches of data. Those software systems are often mindbogglingly complex and largely inscrutable, involving artificial intelligence and machine learning. Ensuring that such software works effectively and safely remains a substantial challenge for regulators and policymakers. Each of the three chapters in this part examines …

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.

Willard Hurst, Technological Changes, And The Transformation Of American Public Law, William J. Novak

Articles

As Sociobiologist E.O. Wilson once famously framed the “problem of humanity”: “We have paleolithic emotions; medieval institutions; and god-like technology.” America’s greatest philosopher John Dewey similarly placed this yawning gap between rapidly expanding technological change and slowly evolving human emotions and institutions at the heart of what he called The Public and Its Problems. Indeed, Dewey traced the origins of the modern American state as well as what he termed “the Great Society” to the new and modern technologies in production and commerce and steam and electricity that “resulted in a social revolution.” Without warning, Dewey argued, traditional local communities …

Congressional Myopia In Biomedical Innovation Policy, W. Nicholson Price Ii

Reviews

Innovation policy is hard. Getting it right requires balancing incentives for developers, consumer access, rewards for later innovators, safety concerns, and other factors. This balance is vitally important and wickedly difficult—even when it’s the focus of concerted, careful, informed effort. How well should we expect it to go when innovation policy is made by accident? Enter The Accidental Innovation Policymakers, an illuminating new project by Professor Rachel Sachs. Sachs persuasively shows how Congress has repeatedly made substantial changes to innovation policy, seemingly without talking about, seriously considering, or even recognizing that it is doing so. There’s an asymmetry to this …

Willard Hurst's Unpublished Manuscript On Law, Technology, And Regulation, Bj Ard, William J. Novak

Other Publications

It is with a great deal of excitement ( and with thanks to so many contributing colleagues and collaborators over the years ) that we are able to present to the public for the first time a newly published work by one of the great originators of modem legal history and law and society scholarship-James Willard Hurst. Hurst published his last two books, Law and Markets in United States History and Dealing with Statutes, in 1982. And, fittingly, he published his last substantive article--.-a very short comment on "The Use of Case Histories"-in the Wisconsin Law Review in 1992. In …

Exclusion Cycles: Reinforcing Disparities In Medicine, Ana Bracic, Shawneequa L. Callier, Nicholson Price

Articles

Minoritized populations face exclusion across contexts from politics to welfare to medicine. In medicine, exclusion manifests in substantial disparities in practice and in outcome. While these disparities arise from many sources, the interaction between institutions, dominant-group behaviors, and minoritized responses shape the overall pattern and are key to improving it. We apply the theory of exclusion cycles to medical practice, the collection of medical big data, and the development of artificial intelligence in medicine. These cycles are both self-reinforcing and other-reinforcing, leading to dismayingly persistent exclusion. The interactions between such cycles offer lessons and prescriptions for effective policy.

Chapter Eight - Technology And The Law: The Automobile (By James Willard Hurst), Bj Ard, William J. Novak

Articles

In this chapter we are going to talk about some of the automobile effects that it has had. Upon the law, and some of the effects that the law has had upon the automobile. We could undoubtedly open up some worthwhile lines of thought, if we talked about the automobile in relation to, certain brooder problems of which it is a part: for example, the effects of the internal combustion the growth engine, or of all types of communication. But we shall have enough on our hands if we stick to the automobile, and even so in the limits of …

The Orkney Slew And Central Bank Digital Currencies, Jeffery Y. Zhang, Gary B. Gordon

Articles

This Article on central bank digital currencies is motivated by a parable, The Orkney Slew, which is set in an archipelago. Based on the parable, we point out a significant economic market failure that exists in the cross-border payments realm. The analysis then focuses on real-world examples and the national security concerns, including for Anti-Money Laundering/Combatting the Financing of Terrorism (AML/CFT) and the continued efficacy of U.S. sanctions, associated with the rapidly evolving digital payments landscape.

Many central banks around the world are now cooperatively experimenting with cross-border interoperability of digital currencies. These efforts are driven by the idea of …

The Promise And Limits Of Lawfulness: Inequality, Law, And The Techlash, Salomé Viljoen

Articles

In response to widespread skepticism about the recent rise of “tech ethics”, many critics have called for legal reform instead. In contrast with the “ethics response”, critics consider the “lawfulness response” more capable of disciplining the excesses of the technology industry. In fact, both are simultaneously vulnerable to industry capture and capable of advancing a more democratic egalitarian agenda for the information economy. Both ethics and law offer a terrain of contestation, rather than a predetermined set of commitments by which to achieve more democratic and egalitarian technological production. In advancing this argument, the essay focuses on two misunderstandings common …

The Case For Banning (And Mandating) Ransomware Insurance, Kyle D. Logue, Adam B. Shniderman

Law & Economics Working Papers

Ransomware attacks are becoming increasingly pervasive and disruptive. Not only are they shutting down (or at least “holding up”) businesses and local governments all around the country, they are disrupting institutions in many sectors of the U.S. economy — from school systems, to medical facilities, to critical elements of the U.S. energy infrastructure as well as the food supply chain. Ransomware attacks are also growing more frequent and the ransom demands more exorbitant. Those ransom payments are increasingly being covered by insurance. That insurance offers coverage for a variety of cyber-related losses, including many of the costs arising out of …

Illegal Sex Toy Patents, W. Nicholson Price Ii

Reviews

In Patenting Pleasure, Professors Sarah Rajec and Andrew Gilden highlight a surprising incongruity: while many areas of U.S. law are profoundly hostile to sexuality in general and the technology of sex in particular, the patent system is not. Instead, the U.S. Patent and Trademark Office (USPTO) has over the decades issued thousands of patents on sex toys—from vibrators to AI, and everything in between. This incongruity is especially odd because patent law has long incorporated a doctrine that specifically tied patentability to the usefulness of the invention, and up until the end of the 20th century one strand of that …

Problematic Interactions Between Ai And Health Privacy, W. Nicholson Price Ii

Law & Economics Working Papers

The interaction of artificial intelligence (“AI”) and health privacy is a two-way street. Both directions are problematic. This Article makes two main points. First, the advent of artificial intelligence weakens the legal protections for health privacy by rendering deidentification less reliable and by inferring health information from unprotected data sources. Second, the legal rules that protect health privacy nonetheless detrimentally impact the development of AI used in the health system by introducing multiple sources of bias: collection and sharing of data by a small set of entities, the process of data collection while following privacy rules, and the use of …

Designing Legal Experiences, Maximilian A. Bulinski, J.J. Prescott

Book Chapters

Technological advancements are improving how courts operate by changing the way they handle proceedings and interact with litigants. Court Innovations is a socially minded software startup that enables citizens, law enforcement, and courts to resolve legal matters through Matterhorn, an online communication and dispute resolution platform. Matterhorn was conceived at the University of Michigan Law School and successfully piloted in two Michigan district courts beginning in 2014. The platform now operates in over 40 courts and in at least eight states, and it has facilitated the resolution of more than 40,000 cases to date. These numbers will continue to grow …

How Much Can Potential Jurors Tell Us About Liability For Medical Artificial Intelligence?, W. Nicholson Price Ii, Sara Gerke, I. Glenn Cohen

Articles

Artificial intelligence (AI) is rapidly entering medical practice, whether for risk prediction, diagnosis, or treatment recommendation. But a persistent question keeps arising: What happens when things go wrong? When patients are injured, and AI was involved, who will be liable and how? Liability is likely to influence the behavior of physicians who decide whether to follow AI advice, hospitals that implement AI tools for physician use, and developers who create those tools in the first place. If physicians are shielded from liability (typically medical malpractice liability) when they use AI tools, even if patient injury results, they are more likely …

Clearing Opacity Through Machine Learning, W. Nicholson Price Ii, Arti K. Rai

Articles

Artificial intelligence and machine learning represent powerful tools in many fields, ranging from criminal justice to human biology to climate change. Part of the power of these tools arises from their ability to make predictions and glean useful information about complex real-world systems without the need to understand the workings of those systems.

Persuasion About/Without International Law: The Case Of Cybersecurity Norms, Steven R. Ratner

Book Chapters

International law on cybersecurity is characterized by at best a thin consensus on the existence of rules, their meaning, and the desirability and content of new rules. This legal landscape results in a unique pattern of argumentation and persuasion by states and non-state actors both in advocating for a regulatory scheme for cyber activity and in reacting to malicious cyber acts. By examining argumentation in the absence of a generally agreed legal framework, this chapter seeks to provide new insights into the motivations for and effects of international legal argumentation in shaping debates and behavior. After describing the legal landscape …

Regulatory Responses To Medical Machine Learning, Timo Minssen, Sara Gerke, Mateo Aboy, W. Nicholson Price Ii, Glenn Cohen

Articles

Companies and healthcare providers are developing and implementing new applications of medical artificial intelligence, including the artificial intelligence sub-type of medical machine learning (MML).MML is based on the application of machine learning (ML) algorithms to automatically identify patterns and act on medical data to guide clinical decisions. MML poses challenges and raises important questions, including (1) How will regulators evaluate MML-based medical devices to ensure their safety and effectiveness? and (2) What additional MML considerations should be taken into account in the international context? To address these questions, we analyze the current regulatory approaches to MML in the USA and …

Are Litigation Outcome Disparities Inevitable? Courts, Technology, And The Future Of Impartiality., Avital Mentovich, J.J. Prescott, Orna Rabinovich-Einy

Articles

This article explores the ability of technology—specifically, online judicial procedures—to eliminate systematic group-level litigation outcome disparities (i.e., disparities correlated with the visible identity markers of litigants). Our judicial system has long operated under the assumption that it can only be “impartial enough.” After all, judges, like all human beings, harbor implicit biases that are often sizable, unconscious, and triggered automatically, and research indicates that strategies to curb implicit biases in human decision making may be ineffective, especially in the face of the resource and caseload constraints of modern-day adjudication. The recent emergence of online court proceedings, however, offers new hope …

Potential Liability For Physicians Using Artificial Intelligence, W. Nicholson Price Ii, Sara Gerke, I Glenn Cohen

Articles

Artificial intelligence (AI) is quickly making inroads into medical practice, especially in forms that rely on machine learning, with a mix of hope and hype. Multiple AI-based products have now been approved or cleared by the US Food and Drug Administration (FDA), and health systems and hospitals are increasingly deploying AI-based systems. For example, medical AI can support clinical decisions, such as recommending drugs or dosages or interpreting radiological images.2 One key difference from most traditional clinical decision support software is that some medical AI may communicate results or recommendations to the care team without being able to communicate the …

Medical Ai And Contextual Bias, W. Nicholson Price Ii

Articles

Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …