Law Commons^™

Destined To Deceive: The Need To Regulate Deepfakes With A Foreseeable Harm Standard, Matthew D. Weiner

Michigan Law Review

Political campaigns have always attracted significant attention, and politicians have often been the subjects of controversial—even outlandish—discourse. In the last several years, however, the risk of deception has drastically increased due to the rise of “deepfakes.” Now, practically anyone can make audiovisual media that are both highly believable and highly damaging to a candidate. The threat deepfakes pose to our elections has prompted several states and Congress to seek legislative remedies that ensure recourse for victims and hold bad actors liable. These recent attempts at deepfake laws are open to attack from two different loci. First, there is a question …

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 …

Equitable Ecosystem: A Two-Pronged Approach To Equity In Artificial Intelligence, Rangita De Silva De Alwis, Amani Carter, Govind Nagubandi

Michigan Technology Law Review

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 …

Regulatory Frameworks For Smart Mobility: Current U.S. Regulation Of Connected And Automated Vehicles And The Road Ahead, Olivia Dworkin, Jorge Ortiz, Nicholas Xenakis

Journal of Law and Mobility

On June 7, 2023, Senator Gary Peters from Michigan gave an interview about autonomous vehicle technology where he stated that: “From a competitive standpoint, there’s no question that it is absolutely essential that this technology get developed here and deployed here in the United States. We’re facing significant international competition from other countries that understand that autonomy represents not only the future of mobility, but it drives other technologies in a significant way.” Just last year, Senator Peters and eleven of his colleagues had also written a letter to Secretary of Transportation Pete Buttigieg that: “The federal government has the …

Preemptive Federal Legislation For Ev Manufacturers To Sell Direct To Customers, Peter Luu

Journal of Law and Mobility

This article advocates for federal legislation to implement a nationwide EV licensing system that would allow both EV manufacturers and dealers to sell and service their vehicles directly to consumers nationwide. This prospective legislation would preempt dealer franchise laws that prohibit or limit manufacturers from selling their vehicles directly to consumers. This article does not argue that direct distribution is the superior method of distribution; instead, this article argues that manufacturers should have the freedom to pursue direct distribution. As more EV companies enter the market, EV manufacturers need to have the flexibility to use a variety of distribution systems …

How Might We Reimagine Transportation Technology To Combat Forced Labor: Conference Explanations And Recommendations From The Law And Mobility Program’S Annual Conference 2023, Brittany Eastman

Journal of Law and Mobility

The University of Michigan Law School’s Law and Mobility Program (LAMP), a resource for scholarship about the legal implications of emerging transportation technology with a particular focus on connected and automated vehicles (CAVs), hosts an annual conference. The topic of the LAMP Annual Conference 2023 considered how we might reimagine transportation technology in a way that combats the systemic vulnerabilities that leave certain populations more likely to experience forced labor. This topic was selected because there are multiple lenses through which to consider the transportation equity outcomes for users, industry workers, and society at large; forced labor is just one …

A Comparative Look At Various Countries' Legal Regimes Governing Automated Vehicles, Brittany Eastman, Shay Collins, Ryan Jones, Jj Martin, Marjory S. Blumenthal, Karlyn D. Stanley

Journal of Law and Mobility

News and commentary about automated vehicles (AVs) focus on how they look and appear to operate, along with the companies developing and testing them. Behind the scenes are legal regimes—laws, regulations, and implementing bodies of different kinds—that literally and figuratively provide the rules of the road for AVs. Legal regimes matter because public welfare hinges on aspects of AV design and operation. Legal regimes can provide gatekeeping for AV developers and operators seeking to use public roads, and they can allocate liability when something goes wrong. Guiding and complementing legal regimes is public policy. Policy documents such as articulations of …

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 …

Algorithmic Elections, Sarah M.L. Bender

Michigan Law Review

Artificial intelligence (AI) has entered election administration. Across the country, election officials are beginning to use AI systems to purge voter records, verify mail-in ballots, and draw district lines. Already, these technologies are having a profound effect on voting rights and democratic processes. However, they have received relatively little attention from AI experts, advocates, and policymakers. Scholars have sounded the alarm on a variety of “algorithmic harms” resulting from AI’s use in the criminal justice system, employment, healthcare, and other civil rights domains. Many of these same algorithmic harms manifest in elections and voting but have been underexplored and remain …

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 …

Degrees Of Confidence As A Legal Tool To Assess Ai System Liability, Joshua Song

Michigan Technology Law Review

AI systems have become increasingly integrated into our everyday lives, and harms caused by these systems have graduated from raising hypothetical ethical concerns to questions of actual legal liability. Civil liability schemes are generally designed to address harms caused by humans; thus, it may be tempting to analogize new types of harms caused by AI systems to familiar harms caused by humans in order to justify commandeering existing human-centered legal tools to assess AI liability. However, the analogy is inappropriate and misrepresents salient legal differences in how harms are committed by humans and AI systems. Thus, “as is often the …

Suspect Development Systems: Databasing Marginality And Enforcing Discipline, Rashida Richardson, Amba Kak

University of Michigan Journal of Law Reform

Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet …

Deprogramming Bias: Expanding The Exclusionary Rule To Pretextual Traffic Stop Using Data From Autonomous Vehicle And Drive-Assistance Technology, Joe Hillman

University of Michigan Journal of Law Reform

As autonomous vehicles become more commonplace and roads become safer, this new technology provides an opportunity for courts to reconsider the constitutional rationale of modern search and seizure law. The Supreme Court should allow drivers to use evidence of police officer conduct relative to their vehicle’s technological capabilities to argue that a traffic stop was pretextual, meaning they were stopped for reasons other than their supposed violation. Additionally, the Court should expand the exclusionary rule to forbid the use of evidence extracted after a pretextual stop. The Court should retain some exceptions to the expanded exclusionary rule, such as when …

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 …

Mental Health Mobile Apps And The Need To Update Federal Regulations To Protect Users, Kewa Jiang

Michigan Technology Law Review

With greater societal emphasis on the need for better mental health services coupled with COVID-19 limits, mental health mobile applications have significantly risen in variety, availability, and accessibility. As more consumers use mental health mobile applications, more data is generated and collected by mobile application companies. However, consumers may have the false assumption that the data collected is protected under HIPAA or have an expectation of privacy protection higher than current regulations afford. This Note examines HIPAA, Health Breach Notification Rule, and section 5 of the Federal Trade Commission Act, as well as how these regulations fall short of protecting …

Unreasonable: A Strict Liability Solution To The Ftc’S Data Security Problem, James C. Cooper, Bruce H. Kobayashi

Michigan Technology Law Review

For over two decades, the FTC creatively employed its capacious statute to police against shoddy data practices. Although the FTC’s actions were arguably needed at the time to fill a gap in enforcement, there are reasons to believe that its current approach has outlived its usefulness and is in serious need of updating. In particular, our analysis shows that the FTC’s current approach to data security is unlikely to instill anything close to optimal incentives for data holders. These shortcomings cannot be fixed through changes to the FTC enforcement approach, as they are largely generated by a mismatch between the …

The Best Data Plan Is To Have A Game Plan: Obstacles And Solutions To Reaching International Data Privacy Agreements, James Y. Wang

Michigan Technology Law Review

The modern digital world relies on the instantaneous transfer of data. This digital highway is essential for the growth of the modern digital economy and contributes to the rise of globalization. In order to facilitate these data transfers, ground rules must first be put into place. To date, there are few, if any, binding international data privacy agreements. This is in part due to practical considerations, such as high administrability costs, inadequate enforcement agencies, and complex jurisdictional procedures. More fundamentally, however, this is due to competing incentive structures, as countries are incentivized to protect their own digital sovereignty by limiting …

The Ping-Pong Olympics Of Antisuit Injunction In Frand Litigation, King Fung Tsang, Jyh-An Lee

Michigan Technology Law Review

In the past two years, antisuit injunctions (ASIs) and subsequent legal proceedings associated with standard-essential patents (SEPs) subject to fair, reasonable, and nondiscriminatory (FRAND) commitments have proliferated in multiple jurisdictions. This phenomenon reveals not only the transnational nature of technical standards and FRAND-encumbered SEPs but also the jurisdictional tension between different national courts. This Article explains the emergence of ASIs in FRAND scenarios and recent developments in six jurisdictions with major interests in standard development and adoption. Countries have developed different approaches to ASIs based on their own domestic rules and interests. We believe that to promote technical compatibility and …

Another Katz Moment?: Privacy, Property, And A Dna Database, Claire Mena

University of Michigan Journal of Law Reform

The Fourth Amendment protects the “right of the people to be secure in their persons, houses, papers, and effects, against unreasonable searches and seizures.” The understanding of these words seems to shift as new technologies emerge. As law enforcement’s arsenal of surveillance techniques has grown to include GPS tracking, cell phones, and cell site location information (CSLI), the Supreme Court has applied Fourth Amendment protections to these modern tools. Law enforcement continues to use one pervasive surveillance technique without limitations: the routine collection of DNA. In 2013, the Supreme Court in Maryland v. King held that law enforcement may routinely …

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 …

The Impact Of Amex And Its Progeny On Technology Platforms, Kacyn H. Fujii

Michigan Law Review

Big Tech today faces unprecedented levels of antitrust scrutiny. Yet antitrust enforcement against Big Tech still faces a major obstacle: the Supreme Court’s 2018 decision in Ohio v. American Express. Popularly called Amex, the case imposed a higher initial burden on antitrust plaintiffs in cases involving two-sided markets. Two-sided markets connect two distinct, noncompeting groups of customers on a shared platform. These platforms have indirect network effects, meaning that one group of customers benefits when more of the second group of customers joins the platform. Two-sided markets are ubiquitous in the technology sector, encompassing social media, search engines, …

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 …

Fostering Production Of Pharmaceutical Products In Developing Countries, William Fisher, Ruth L. Okediji, Padmashree Gehl Sampath

Michigan Journal of International Law

The ways in which pharmaceutical products are currently developed, manufactured, and distributed fail to meet the needs of developing countries. The recent emergence of new infectious diseases, the associated surge of healthcare nationalism, and the prevalence of substandard and falsified drugs have strengthened substantially the net benefits of augmenting the capacity of developing countries to produce such products locally. Most previous efforts to do so have foundered. The chance of success in the future would be maximized by the adoption of five strategies : (a) clarifying the zones of discretion created by the relevant treaties to ensure that local firms …

The “License As Tax” Fallacy, Jonathan M. Barnett

Michigan Technology Law Review

Intellectual property licenses are commonly portrayed as a “tax” that limits access to technology assets, which in turn stunts innovation by intermediate users and inflates prices for end-users. Renewed skepticism toward IP licensing, and associated judicial and regulatory interventions that apply per se-like liability rules under patent and antitrust law to IP licensing, overlook the fact that IP licenses typically play a “positive-sum” enabling function, rather than a “zero-sum” exclusionary function, by mitigating expropriation risks that would otherwise frustrate transactions between the holders of complementary specialized IP and non-IP assets. As illustrated by paradigm examples of licensing and other IP-dependent …

Data Governance Frameworks For Smart Cities: Key Considerations For Data Management And Use, Jennifer Johnson, Anna Hevia, Rebecca Yergin, Shayan Karbassi, Adira Levine, Jorge Ortiz

Journal of Law and Mobility

The proliferation of “smart technologies” has created significant opportunities to leverage data to improve everyday life across sectors. In cities around the world, local governments and private enterprises, often partnering together, have launched projects that integrate smart technologies with Internet of Things (“IoT”) capabilities into public spaces in order to promote efficiency, safety, mobility, and innovation. At the same time, smart cities must balance the need for robust data in order to achieve these benefits with public concerns regarding privacy and data use.

This paper examines the key attributes of smart cities, the essential role that data plays in fueling …