Science and Technology Law Commons^™

Police Surveillance And The Perils Of Techno-Solutionism, Prithika Balakrishnan

Michigan Journal of Race and Law

This Article charts domestic law enforcement’s use of video surveillance, beginning in the backlash to the Civil Rights movement in the late 1960s, continuing through the War on Terror and, more recently, in the context of the post-George Floyd public critiques of policing. The undergirding philosophy of policing’s embrace of surveillance technology is techno-solutionism, the view that all complex social situations can be simplified to measurable data primed for quick-fix, unbiased, algorithmic answers. While technology may have initially been adopted by police to respond to specific problems, it has changed the problems themselves, altered the array of potential solutions, and …

Can Laws Be Flexible? Rethinking Legislation For Innovation, Nicholson W. Price Ii, Nick K. Schneider, Ariel Dora Stem, Jochen K. Lennerz

Articles

Agile legislation adapts principles from agile software development to lawmaking, emphasizing iteration, multi-stakeholder feedback, and embedded revision. We outline this learning-oriented governance model using three case studies: Germany’s stepwise digital health legislation, the EU AI Act, and U.S. FDA user-fee reauthorization. These examples highlight legislative designs that enable structured generation of real-world data and evidence during implementation, informing regulatory interpretation and iterative refinement in rapidly evolving technological domains.

A Real Account Of Deep Fakes, Benjamin L.W Sobel

Michigan Law Review

Laws regulating pornographic deepfakes are written to prohibit “digital forgeries,” “false” images, or media “indistinguishable” from “authentic” recordings. Yet the typical anti-deepfake law covers materials that aren’t forgeries, aren’t false, and that reasonable observers can easily distinguish from authentic recordings. Though drafted as if they regulate statements of fact, anti-deepfake laws actually target certain outrageous depictions per se—and rightly so, because pornographic deepfakes cause harm irrespective of their truth or falsity. However, the inapposite language of facts results in statutes with crucial ambiguities. Moreover, because anti-deepfake laws ban outrageous depictions irrespective of the factual assertions they make, they differ fundamentally …

Pornographic Deepfakes And Ugly Social Facts: The Costs Of A Normative Approach To Defamation, Kathleen Ross

Michigan Law Review

Around the world, women and girls are being victimized by pornographic deepfakes— alarmingly convincing, sexually exploitative images and videos generated using artificial intelligence (AI). Facing statutory gaps, victims may turn to traditional tort law claims to recover for the injuries inflicted by pornographic deepfakes. Defamation law, which protects against reputational injuries caused by false statements, is a particularly compelling arena for vindicating the interests invaded by a pornographic deepfake—interests which are, at their heart, social and reputational. Fortunately for deepfake victims, a pornographic deepfake will often satisfy defamation’s basic elements: A false and defamatory communication that concerns the victim and …

China’S Shift Towards Data Openness: Integrating Security With Trade In Cross-Border Data Transfer, Yichen Huang

Michigan Technology Law Review

As the world's second-largest economy, China's stringent cross-border data transfer laws have deterred numerous multinational investments. To address this issue, China has prioritized data openness in its legislative agenda. The passage of the Provisions on Facilitating and Standardizing Cross-Border Data Transfer (the “New Cross-Border Data Transfer Regulation”) in March 2024 marked a significant milestone in this effort. Despite this progress, investors continue to express concerns about enforcing the new law. This article analyzes these recent legal developments and argues that they signal the government's determination to relax data control measures. China's stance is shifting from prioritizing security over trade to …

Revolutionizing The Cross-Border Payment System, Muhui Shi

Michigan Technology Law Review

When you bought your coffee this morning, you probably didn’t notice that many cross-border payments were hidden in the process of shipping beans in Ethiopia to the barista in your neighborhood. Comprising more than ten percent of what U.S. consumers spend, cross-border payments are an essential part of U.S. dollar dominance and commercial competitiveness. Yet, the outdated cross-border payment system—shrinking constantly in reach and struggling with structural changes—is demanding a complete upgrade.

What is the best path forward? Cryptocurrencies? E-money? Stablecoins? Central bank digital currencies (CBDCs)? In this article, I answer the question by uncovering the core needs of the …

Regulating Ai Beyond Product Liability, Shruti Trikanad

Michigan Technology Law Review

Artificial Intelligence (AI) is being used by governments across the world to enforce regulatory mandates, adjudicate benefits and privileges, predict and analyze risks, and much more. Although this has significant potential to increase efficiency and responsiveness, it also comes with several risks of transparency, government accountability, and the amplification of discrimination and bias. It is crucial we oversee and regulate these AI systems effectively. This essay argues against the models that current regulatory frameworks are adopting to govern AI use: those resembling product liability.

Through the lens of the European Union's AI Act and Liability Directive, it highlights the unsuitability …

Conversational Ai And Human-Centered First Amendment, Inyoung Cheong

Michigan Technology Law Review

Human-centered artificial intelligence (AI) is premised on the idea that humans must remain the ultimate locus of agency in technological systems. First Amendment jurisprudence has displaced this commitment. By extending speech protection to algorithmic architectures, the judiciary has forged a doctrinal shield that insulates corporate actors from the consequences of their products. Conversational AI deepens this crisis through intimate incursions into the epistemic and emotional registers of the self. Emerging approaches that anchor First Amendment coverage to the controllability or traceability of AI outputs offer no stable solution. Policy-level design choices such as safety guardrails and alignment processes can readily …

Regulating Drone Delivery Networks, Ramsay Eyre

Journal of Law and Mobility

For over a decade, drone delivery has been heralded as the next frontier of commercial transportation and logistics. However, drone delivery companies have been unable to scale their operations. Part of the problem, from the perspective of the companies invested in drone delivery, were federal regulations that in effect prohibited drones from making deliveries. In 2025, following years of effort by industry and allies in Congress to create new rules governing drones, the second Trump Administration proposed a new set of drone regulations pursuant to the FAA Reauthorization Act of 2024. These rules are intended to significantly expand the number …

The New Legal Tender Debate: Surveying State-Level Attempts To Regulate Central Bank Digital Currencies, Jacob Gerszten

Michigan Technology Law Review

This Note explores the growing wave of state-level legislation aimed at regulating Central Bank Digital Currencies (CBDCs). CBDCs, digital forms of central bank-issued money, have sparked intense political debates between proponents who see them as the logical next development in monetary technology and critics who perceive them as threats to privacy and financial system stability. Although a widely available CBDC appears unlikely without Congressional authorization, sixteen states have enacted laws designed to preempt its development, with more statutes likely to follow. These state statutes employ various legal mechanisms, including redefining terms in the Uniform Commercial Code, prohibiting CBDC-related payments to …

The Hard Law-Soft Law Nexus: Autonomous Vehicles As A Case Study, Gary Marchant, Chase Martins, Vrinda Gupta

Journal of Law and Mobility

The technology governance debate often focuses on the dichotomy of hard law versus soft law as competing models. Both hard law and soft law have their strengths and weaknesses. But framing soft law versus hard law as a dichotomous choice is often unrealistic—every technology will be governed by a mix of hard law and soft law. So, the more realistic questions are where hard law works best and where soft law succeeds, and how these two types of governance interact and integrate. After reviewing the strengths and weaknesses of hard law and soft law, this Article identifies six different hybrid …

Accounting For Spatial Effects And Social Norms In Making Algorithmic Law: Insights From And Applications In Urban Mobility, Jingkang Gao

Journal of Law and Mobility

This Article examines a prominent idea in the law and technology literature: that algorithms and big data can be used to make law dynamic and personalized. As currently envisioned by legal scholars, “algorithmic law” entails laws that adjust in real time to changing conditions and vary across individuals, improving welfare by tailoring legal rules and standards to personal characteristics.

This Article argues that this vision of algorithmic law is incomplete—and often counterproductive. Existing proposals treat personalization as a function of individual attributes alone, overlooking the fact that effects of individual behavior are fundamentally interactive. Individual behavior is shaped by spatial …

Monitoring, Oversight, And Learning In Medical Ai, W. Nicholson Price Ii

Articles

When medical AI errs, it often goes unnoticed. If there’s a specific patient injury, and the link to AI is obvious, that problem might be reported to the Food and Drug Administration (FDA), but not always. And many other types of problems, like worse performance on specific groups or ineffective integration into health system workflows, simply don’t fall within the contours of regularized reporting. Even if they are noticed by the health system—far from a given—there’s no obvious way to share that information more broadly. Against this backdrop, there are justified calls for better oversight and reporting. But there’s the …

Crypto Regulation In The Time Of Trump, Lawrence J. Trautman

Michigan Technology Law Review

Donald Trump’s election as president during November 2024 results in perhaps the most dramatic philosophical change in approach to governmental regulation in over ninety years. The Great Depression of the 1930s created a need for regulatory reform and resulted in the advent of such new regulatory frameworks as the U.S. Securities and Exchange Commission (SEC). It has been the purpose of the SEC to create and nurture efficient securities markets enabling vibrant capital formation while preventing fraud upon the investing public. At issue is the contrast between the regulatory regime in place since 1933-34 and the Trump Administration’s desire to …

How Experts View The Legal System's Use Of Scientific Evidence, Shari Seidman Diamond, Richard Lempert

Articles

Legal scholars and courts frequently write about how scientific evidence is vetted and presented in legal proceedings, but the views of experts themselves have received little attention. Our research aims to fill that gap. This paper reports some of what we learned from a series of surveys we conducted, beginning with a survey in 2016 of scientists who had been elected to membership in the American Academy of Arts and Sciences.3 Subsequent surveys were directed to subscribers of the journal Science who identified as scientists and engineers and to self-identified experts who advertised their availability as experts to lawyers or …

Confronting Catastrophic Risk: The International Obligation To Regulate Artificial Intelligence, Bryan Druzin, Anatole Boute, Michael Ramsden

Michigan Journal of International Law

While artificial intelligence (“AI”) holds enormous promise, many experts in the field are warning that there is a non-trivial chance that the development of AI poses an existential threat to humanity. Existing regulatory initiatives do not address this threat but instead merely focus on discrete AI-related risks such as consumer safety, cybersecurity, data protection, and privacy. In the absence of regulatory action to address the possible risk of human extinction by AI, the question arises: What obligations, if any, does public international law impose on states to regulate its development?

At present there is no scientific consensus as to the …

Facial Recognition Technology And The First Amendment, Joseph A. Tomain

Michigan Technology Law Review

The growing ubiquity of facial recognition technology (FRT) is a problem. While much has been written on harmful government use of FRT, little has been written about harmful use by private actors. This Article helps fill that gap in the literature by providing a detailed analysis of the First Amendment interests at stake when private actors use FRT. Specifically, this Article analyzes whether laws that limit the use of publicly available photographs to create “faceprints” for inclusion in FRT databases violate the First Amendment rights of the private actors creating these databases.

In May 2025, a multidistrict litigation against Clearview …

Human Masters/Robot Servants: Highly Automated Vehicle Design, Intoxicated Drivers & Vicarious Liability, William H. Widen, Marilyn Wolf

Journal of Law and Mobility

A traditional engineering role is to design a safe product. Safety engineering is an exercise in harm avoidance ex ante. In contrast, liability attribution is an exercise to compensate for loss post hoc—traditionally viewed as a legal matter. We observe that, when a natural person incurs liability for a loss that exceeds insurance coverage, economic ruin can follow. Neither engineering nor law focus on the loss suffered by defendants considering law as a “safety risk.” The highly automated vehicle (HAV) design space, however, provides an opportunity to prevent this kind of economic harm from occurring ex ante just as attention …

Social Data's Role In Law And Political Economy, Salome Viljoen

Book Chapters

Over the past several years, the digital economy has been a notable uptick in interest from scholars across areas of law. This should come as no surprise. The digital economy encompasses some of the largest companies in the world, whose business models pioneer and spread new strategies to concentrate private power across the political economy more broadly. Digital companies have transformed commercial and social life, and they raise problems of concentrated private power. They are also charged with a slew of downstream disruptions resulting from collective pursuit of that power: global, social, and interpersonal forms of dislocation, oppression, impoverishment, alienation, …

Gatekeeper Competition Policy, Herbert Hovenkamp

Michigan Technology Law Review

Antitrust policy in the United States has always had special rules for dominant firms. As Justice Scalia once observed:

Where a defendant maintains substantial market power, his activities are examined through a special lens: Behavior that might otherwise not be of concern to the antitrust laws—or that might even be viewed as procompetitive—can take on exclusionary connotations when practiced by a monopolist.

Frand Arbitration Will Destroy Frand, Barbara Lauriat

Michigan Technology Law Review

Standard essential patent-licensing disputes have been raising the costs of business in the telecommunications industry for over a decade. As technology and interconnectivity extend beyond mobile phones into the Internet of Things (“IoT”), the number of these disputes will only increase. While many academics, policymakers, and stakeholders support arbitration to resolve these disputes, this article warns of the potential long-term consequences of doing so on a large scale.

Standard Setting Organizations usually require the owners of patented technology included in industry standards to commit to licensing on Fair, Reasonable, and Non-discriminatory (“FRAND”) terms to avoid potential abuse of their market …

The Unfairness Of Fair Machine Learning: Leveling Down And Strict Egalitarianism By Default, Brent Mittelstadt, Sandra Wachter, Chris Russell

Michigan Technology Law Review

In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built in isolation from policymaking and civil societal contexts and lack serious engagement with philosophical, political, legal, and economic theories of equality and distributive justice. Many current measures define “fairness” in simple terms to mean narrowing gaps in performance or outcomes between demographic groups while preserving as much of the original system’s accuracy as possible. This oversimplified …

The Implications Of Chatgpt For Legal Services And Society, Andrew Perlman

Michigan Technology Law Review

On November 30, 2022, OpenAI released a chatbot called ChatGPT.1 To demonstrate the chatbot’s sophistication and its potential implications, both for legal services and society more generally, most of this paper was generated in about an hour through prompts within ChatGPT. Only this abstract, the preface, the outline headers, the footnotes, the epilogue, and the prompts were written by a person. ChatGPT generated the rest of the text with no human editing. To be clear, the responses generated by ChatGPT were imperfect and at times problematic, and the use of an AI tool for law-related services raises a host of …

Tort Liability, Privacy, And Regulatory Considerations For Level 3 Autonomous Vehicles, Ryan H. Jones

Michigan Technology Law Review

Recent developments in emerging technology, such as artificial intelligence, robotics, and autonomous vehicles, have generated inquiries about the incorporation of these technologies into the law, as well as the philosophical and ethical questions that accompany their use. This paper considers existing legal doctrine and regulatory frameworks as applied to the niche area of Level 3 autonomous vehicles. Specifically, this paper considers tort liability in the form of negligence and products liability, privacy risks, and regulatory considerations in relation to Level 3 vehicles. Finally, societal risks and potential solutions are considered to provide insight into potential areas of additional work.

From Biased Data Inputs To Your Discriminatory Diagnosis Outputs: A Review Of Legal Liability For Artificial Intelligence In Healthcare, Amber Bolden

Michigan Technology Law Review

While health disparities in America occur due to non-medical circumstances, certain protected classes experience healthcare disparities due to the biases of medical professionals. Biased diagnoses, both intentional or unintentional, have existed throughout the history of the medical profession. That those biases are becoming data for training algorithms raises concerns as the medical field increasingly incorporates and standardizes artificial and augmented intelligence in patient diagnosis and treatment. Currently unregulated but with lifedetermining potential, artificial intelligence (AI) when used in patient treatment leads to important questions: should the doctor, the provider, or the AI developers be liable, and for what? Section II …

Repair As Research: How Copyright Impedes Learning About Devices, Anthony D. Rosborough, Aaron Perzanowski

Michigan Technology Law Review

Widespread computerization and ubiquitous smart devices have enabled software-based copyright governance to reach into new domains. Beyond their instrumental utility, those devices contain vast amounts of information in the form of software and technical know-how. Through copyright and anti-circumvention rules, however, this information can be cordoned off and confined to exclusive distribution channels, significantly constraining research. While copyright law traditionally conceives of research as the use of expressive works within institutional settings, we propose a broader conceptualization that embraces device research, including informal inquiries and DIY activities. Whether for the purposes of modification, repair, user innovation, or testing, device research …

Formalizing Fairness: Statistical Measures Of Parity For Recidivism Prediction Instruments, Joshua Song

Michigan Technology Law Review

Recidivism prediction instruments (RPI) are increasingly employed as an algorithmic arm of the criminal justice system to assist in bond, sentencing, and probation determinations. Due process and ethics guidelines require that RPIs, such as the Correctional Offender Management Profiling for Alternative Sanctions (COMPAS), apply a fair assessment in making recidivism predictions. To establish fair RPIs, we must first define standards of fairness and methods to measure bias in RPI outputs. However, defining algorithmic fairness can be cryptic and context-dependent. Scholars have proposed different criteria for what defines a fair RPI. Unfortunately, these criteria are conflicting and mutually exclusive; it is …

Ideal Enforcement: How Do We Achieve Optimal Enforcement Of Traffic Law As Ubiquitous Enforcement Becomes Technologically Conceivable?, Bryant Walker Smith, Jeffrey Michael, Johnathon Ehsani

Michigan Technology Law Review

Safety. Mobility. Technology. Data. Equity. Autonomy. Community. Justice. Power. Trust. These themes have resonated over the last few years across a wide range of specific issues—some that are new and others that have only recently received the broader attention that they demand. A coming age of “perfect enforcement,” in which both public and private actors use increasingly powerful, pervasive, and affordable technologies to automatically identify and penalize every deviation from public or private rules, captures all these issues: They meet—in the language of physics, they interfere, whether constructively or destructively—to affect both perception and reality. The potential role of technology …

Regulating Algorithmic Harms, Sylvia Lu

Law & Economics Working Papers

In recent years, the rapid expansion of artificial intelligence (AI) innovations has led to a rise in algorithmic harms—harms emerging from AI operations that pose significant threats to civil rights and democratic values in today’s technological landscape. A facial recognition system for improving criminal detection wrongly collected sensitive personal data and flagged racial minorities as shoplifters. A risk-prediction algorithm adopted to identify patients denied medical treatment to Black individuals with poor health conditions. A social media algorithm intended to boost social engagement exacerbated addictive behavior and mental illness in teenagers. These harms are becoming increasingly ubiquitous yet often manifest in …

Defining Relevant Markets In Digital Ecosystems, Daniel A. Crane

Articles

Traditional market definition focuses on the substitutability of two products or geographies. In digital ecosystems, competition often occurs in important ways that elide definition in conventional substitutability terms. This Article considers three kinds of economic rivalry that do not fit the conventional market definition mold: (1) Single-side competition: In two sided markets, firms may compete on just one side of the market. For example, Google and Facebook compete for the same advertisers, but their users on the other side of the market do not necessarily think of the offerings (social media and universal search) as substitutes; (2) Ecosystem competition: Technology …