Science and Technology Law Commons^™

Information Law Pluralism, Hannah Bloch-Wehba

Faculty Scholarship

Information-intensive activities are reshaping political, social, and economic institutions. As they respond to these shifts, legislators and regulators are embracing information as a regulatory device for tech. Far from limiting themselves to public disclosure, consumer notice, and other traditional mechanisms of fostering transparency and information flows, however, legislators are using other, more nuanced tools to incentivize regulated entities to obtain, generate, and share information.

This Article maps the landscape of the emerging information-based regimes for regulating tech and assesses their conceptual and practical implications. It canvasses an extensive set of recently enacted laws regulating the information economy and shows that, …

Copyright, Incentives, And Popular Music Composition, Glynn S. Lunney Jr.

Faculty Scholarship

The rise of file sharing and the subsequent collapse in sales of recorded music offer a rare glimpse into a counterfactual world where copyright, for a time, was weakened. Comparing creative output before and after this exogenous shock allows us to test empirically whether incentives to copyright owners were correlated with creative output. In this article, I extend previous work on this issue from recording artists to songwriters and search for a correlation between incentives and popular music composition. In particular, I test three hypotheses. First, I test whether more incentives were associated with more or better popular musical compositions. …

Data As Policy, Janet Freilich, W. Nicholson Price Ii

Faculty Scholarship

A large literature on regulation highlights the many different methods of policy-making: command-and-control rulemaking, informational disclosures, tort liability, taxes, and more. But the literature overlooks a powerful method to achieve policy objectives: data. The state can provide (or suppress) data as a regulatory tool to solve policy problems. For administrations with expansive views of government’s purpose, government-provided data can serve as infrastructure for innovation and push innovation in socially desirable directions; for administrations with deregulatory ambitions, suppressing or choosing not to collect data can reduce regulatory power or serve as a back-door mechanism to subvert statutory or common law rules. …

Traditional And Computational Canons, Eric H. Martinez

Faculty Scholarship

As part of the rise of modern textualism, dictionaries and linguistic canons have become a ubiquitous part of legal interpretation. One longstanding question is whether judges citing these tools sincerely attempt to follow the meaning of a text, or if their invocation is merely window-dressing for a preferred outcome. The practical significance of this question extends across all major doctrinal areas, and with the Supreme Court’s overturning of Chevron deference, its importance is only to grow, as courts are now instructed to use every tool at their disposal to resolve ambiguity when interpreting a law. This Article is the first …

Bridging The Fair Share Gap For Antibacterial Innovation: An Observational Analysis Of Antibacterial Revenues In The G7 And Eu27, Maple Goh, Matt Mcenany, Rachel Freeman, Max Newton, Aaron S. Kesselheim, Kevin Outterson

Faculty Scholarship

Background

Antimicrobial resistance (AMR) poses an important global health challenge, including insufficient investment in research and development. This study quantifies the required “fair share” contributions from the G7+EU27 countries for an effective set of pull incentives for antibacterial research and development.

Methods

Fair share targets within the G7+EU27 were calculated from GDP data and revenue targets from the literature, adjusted for inflation. Cefiderocol and ceftazidime-avibactam were selected as representative of key antibacterials. Revenues and volumes from IQVIA MIDAS data on these drugs were used to assess alignment with fair share targets. The study period was January 2015–December 2024.

Findings

The …

The Gamification Of Banking, Colleen Baker, Christopher K. Odinet

Faculty Scholarship

Gamification is coming to banking. This phenomenon is already gain-ing ground in advertising, healthcare, manufacturing, and, more recently, with the GameStop and AMC meme stock saga in securities trading. The idea behind gamification is to make transactions seem fun, playful, and even casino-like in order to elicit habit-forming, addictive-like effects with consumers. This Article argues that the rise of financial technology (“fintech”) firms and their ever-growing business relationships with incumbent financial institutions has created the necessary conditions for gamification to take hold in the banking sector. In order to explore this observation, we undertake a study of current examples of …

The Sec Proposed Cybersecurity Infrastructure Rules And New Disclosure Requirements, Neal F. Newman, Lawrence J. Trautman, Brian Elzweig

Faculty Scholarship

In addition to regulation of securities market issuers, the Securities & Exchange Commission (SEC) is also responsible for regulation of those entities that provide the networks, either electronic or physical, that enable the functioning of our securities markets. On February 9, 2022, the Commission published a Release for Cybersecurity Risk Management for Investment Advisers, Registered Investment Companies, and Business Development Companies containing proposals that, if adopted, would establish a new cybersecurity incident reporting and disclosure regime and require registered investment advisers (“advisers”) and investment companies (“funds”) to implement policies and procedures designed to address cyber risks. The comment period for …

Stakeholder Views On Lessons Learned For The Antimicrobial Resistance Panel From Previous International Science Panels [Version 1], Iruka N. Okeke, Ayodele A. Akinyele, Javier Guzman, Kevin Outterson

Faculty Scholarship

The United Nations General Assembly called in September 2024 for the establishment of an independent panel for actionable evidence against antimicrobial resistance (IPEA). The task of designing the panel was given to the Quadripartite Joint Secretariat (QJS) on Antimicrobial Resistance (AMR) with a delivery timeline of 15 months. To promote stakeholder thought and input around what this panel should look like and how it should work, which could feed into the QJS’s consultation process, we independently commissioned seven papers to examine lessons that could be learned from other high-level scientific panels. We then called a convening of stakeholders that were …

Dark Patterns As Disloyal Design, Johanna Gunawan, Woodrow Hartzog, Neil Richards, David Choffnes, Christo Wilson

Faculty Scholarship

Lawmakers have started to regulate “dark patterns,” understood to be design practices meant to influence technology users’ decisions through manipulative or deceptive means. Most agree that dark patterns are undesirable, but open questions remain as to which design choices should be subjected to scrutiny, much less the best way to regulate them.

In this Article, we propose adapting the concept of dark patterns to better fit legal frameworks. Critics allege that the legal conceptualizations of dark patterns are overbroad, impractical, and counterproductive. We argue that law and policy conceptualizations of dark patterns suffer from three deficiencies: First, dark patterns lack …

Ai For Good: Expanding Legal Services For Immigrants, Huyen Pham, Bryan Garcia

Faculty Scholarship

In this Essay, we explore the possibilities for putting AI technology in the hands of clients themselves, considering the advantages and disadvantages. Thinking about the specific context of immigration law, we could envision apps that help individuals to prepare for interviews for affirmative asylum, visas, or naturalization; to educate them about their rights in ways that are more specific, timely, and convenient than current know-your-rights formats; or, in a more attorney-adjacent interaction, using an app to conduct the initial intake interview and organize that information, making the usual time-consuming intake process more efficient and effective. We are not envisioning apps …

How Domestic Institutions Shape The Global Tech War, Anu Bradford, Eileen Li, Matthew C. Waxman

Faculty Scholarship

The United States (U.S.), China, and the European Union (EU) are engaged in a national security-driven economic competition over advanced technology. Many scholars and commentators focus on the external dimension of this geopolitical contest; that is, they describe the strategic choices by each actor in terms of geopolitical realities, threat perceptions, and relative power. However, this Article brings to the fore the internal dimension of the global tech war. We argue that each player’s strategy in the tech war is a function of its internal features, including basic constitutional powers, domestic legal institutions, and the relationships between the government and …

The Complex Interplay Between Intellectual Property And The Right To Science, Peter K. Yu

Faculty Scholarship

In April 2020, the U.N. Committee on Economic, Social and Cultural Rights released General Comment No. 25, which provides an authoritative interpretation of the right to science—a right that has hitherto not received much attention. In light of this publication and the recent celebration of the 75th anniversary of the Universal Declaration of Human Rights, this article examines the complex interplay between intellectual property and the right to science, with a view toward the human rights challenges brought about by both the COVID-19 pandemic and the arrival of generative AI.

The article begins by documenting the historical evolution of the …

The Rising Returns To R&D: Ideas Are Not Getting Harder To Find, Yoshiki Ando, James Bessen, Xiupeng Wang

Faculty Scholarship

R&D investment has grown robustly, yet aggregate productivity growth has stagnated. Is this because “ideas are getting harder to find”? This paper uses micro-data from the US Census Bureau to explore the relationship between R&D and productivity in the manufacturing sector from 1976 to 2018. We find that both the elasticity of output (TFP) with respect to R&D and the marginal returns to R&D have risen sharply. Exploring factors affecting returns, we conclude that R&D obsolescence rates must have risen. Using a novel estimation approach, we find consistent evidence of sharply rising technological rivalry. These findings suggest that R&D has …

The Antitrust–Copyright Interface In The Age Of Generative Artificial Intelligence, Daryl Lim, Peter K. Yu

Faculty Scholarship

The U.S. government's antitrust actions against Big Tech have recently surged in response to the growing dominance of Amazon, Apple, Google, Meta, and Microsoft. In fall 2023, the Federal Trade Commission filed a controversial submission in response to the U.S. Copyright Office's request for comments on artificial intelligence (AI) and copyright. This submission hinted at the agency's eagerness to fully deploy its enforcement powers in the AI sector, including targeting AI developers that have used copyrighted works without authorization to train AI models.

This article examines the changing interface of antitrust and copyright law in the age of generative AI. …

The Sec, Fraud, And Cryptocurrencies, Lawrence J. Trautman, Brian Elzweig, Neal F. Newman

Faculty Scholarship

The SEC’s Strategic Plan for Fiscal Years 2022–2026 is focused on the impact of the rapidly developing rate of change in new technologies that provide for markets to be more interconnected and interdependent than ever. Because Congress has yet to give the SEC, or any other agency, express authority to regulate cryptocurrency, the SEC has taken a regulation-by-enforcement approach. The SEC’s recent enforcement efforts relating to crypto asset securities were substantial, with enforcement actions addressing a range of alleged misconduct in the crypto asset securities space, including billion- dollar crypto fraud schemes; unregistered crypto asset offerings, platforms, and intermediaries; and …

Debt Tokens, Andrea Tosato, Diane Lourdes Dick, Christopher K. Odinet

Faculty Scholarship

The worlds of crypto and bankruptcy have collided. Once-prominent, fast-growing, and even politically influential platforms for trading cryptocurrencies have imploded spectacularly. Gone are the glossy advertisements, celebrity endorsements, and proclamations that blockchain operates as a law unto itself. Instead, insolvent crypto businesses—including the crypto exchange giant FTX—find themselves in bankruptcy court, no different from any other failed enterprise. These bankruptcies reveal a startling reality: individual investors who placed their trust in these platforms have been stripped of their digital assets. In their stead, they hold hard-to-collect claims against these defunct platforms.

Amid the chill of the crypto winter, bankruptcy has …

Artificial Intelligence, Autonomous Creation, And The Future Path Of Copyright Law, Peter K. Yu

Faculty Scholarship

Most literature at the intersection of copyright and AI has focused primarily on what copyright law is or ought to be. Frequently overlooked is the question of what copyright law will be in the AI space. Understanding this question is crucial because the path of copyright law chosen by the United States will have a major impact on the country's economic and technological future.

This article begins by scrutinizing two lines of arguments that have been advanced to deny copyright protection to AI-generated works: constitutional and incentive-based. The article then discusses a third line of arguments—harmonization-based arguments—and identifies select instances …

Promises, Promises: Understanding Claims Made In Social Robot Consumer Experiences, Johanna Gunawan, Sarah Elizabeth Gillespie, David Choffnes, Woodrow Hartzog, Christo Wilson

Faculty Scholarship

Social robots are a class of emerging smart consumer electronics devices that promise sophisticated experiences featuring emotive capabilities, artificial intelligence, conversational interaction, and more. With unique risk factors like emotional attachment, little is known on how social robots communicate these promises to consumers and whether they adequately deliver upon them within their overall product experiences prior to and during user interaction.

Animated by a consumer protection lens, this paper systematically investigates manufacturer claims made for four commercially available social robots, evaluating these claims against the provided user experience and consumer reviews. We find that social robots vary widely in the …

Deepfakes Can Ruin Lives And Livelihoods – Would Owning The ‘Rights’ To Our Own Faces And Voices Help?, Graeme W. Austin, Jane C. Ginsburg

Faculty Scholarship

Not that long ago, the term “deepfake” wasn’t in most people’s vocabularies. Now, it is not only commonplace, but is also the focus of intense legal scrutiny around the world.

Known in legal documents as “digital replicas”, deepfakes are created by artificial intelligence (AI) to simulate the visual and vocal appearance of real people, living or dead.

Unregulated, they can do a lot of damage, including financial fraud (already a problem in New Zealand), political disinformation, fake news, and the creation and dissemination of AI-generated pornography and child sexual abuse material.

For professional performers and entertainers, the proliferation and increasing …

When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler

Faculty Scholarship

Computer science research sometimes brushes with the law, from red-team exercises that probe the boundaries of authentication mechanisms, to AI research processing copyrighted material, to platform research measuring the behavior of algorithms and users. U.S.-based computer security research is no stranger to the Computer Fraud and Abuse Act (CFAA) and the Digital Millennium Copyright Act (DMCA) in a relationship that is still evolving through case law, research practices, changing policies, and legislation

Amid the landscape computer scientists, lawyers, and policymakers have learned to navigate, anti-fraud laws are a surprisingly under-examined challenge for computer science research. Fraud brings separate issues that …

Automatic Reaction - What Happens To Workers At Firms That Automate?, James Bessen, Maarten Goos, Anna Salomons, Wiljan Van Den Berge

Faculty Scholarship

We provide the first estimate of the impacts of automation on individual workers by combining Dutch micro-data with a direct measure of automation expenditures covering firms in all private non-financial industries over 2000-2016. Using an event study differences-indifferences design, we find that automation at the firm increases the probability of workers separating from their employers and decreases days worked, leading to a 5-year cumulative wage income loss of about 8% of one year’s earnings for incumbent workers. We find little change in wage rates. Further, lost wage earnings are only partially offset by various benefits systems and are disproportionately borne …

Determinants Of Socially Responsible Ai Governance, Daryl Lim

Faculty Scholarship

The signing of the first international AI treaty by the United States, European Union, and other nations marks a pivotal step in establishing a global framework for AI governance, ensuring that AI systems respect human rights, democracy, and the rule of law. This article advances the concepts of justice, equity, and the rule of law as yardsticks of socially responsible AI—from development through deployment—to ensure that AI technologies do not exacerbate existing inequalities but actively promote fairness and inclusivity. Part I explores AI’s potential to improve access to justice for marginalized communities and small and medium-sized law firms while scrutinizing …

Discord And The Pentagon's Watchdog: Countering Extremism In The U.S. Military, Amy Gaudion

Faculty Scholarship

In his 2022 book, Ward Farnsworth crafts a metaphor from the lead-pipe theory for the fall of Rome to consider how rage and misinformation traveling through today’s technology-enabled pipes are poisoning our civic engagement and threatening our governmental structures: “We have built networks for the delivery of information––the internet, and especially social media. These networks too, are a marvel. But they also carry a kind of poison with them. The mind fed from those sources learns to subsist happily on quick reactions, easy certainties, one-liners, and rage.”1 This Article carries the metaphor into a new context and considers what should …

Information Retrieval In The Age Of Generative Ai: A Mismatch That Matters, Alex Zhang

Faculty Scholarship

This short piece explores a widespread and yet underexamined or even overlooked misconception, that is, large language models (LLMs) function like traditional legal research databases. They do not. As a matter of fact, information retrieval from databases functions very differently from LLMs in terms of inputs, retrieval processes, and outputs. These differences have significant implications for transparency, traceability, and overall effectiveness in AI-driven legal research. Without intentional oversight and adaption, these changes could profoundly affect how we develop research skills and a cumulative knowledge base, both of which are essential skills for lifelong learning in the legal field.

This article …

The Globalization Of Copyright Exceptions For Ai Training, Matthew Sag, Peter K. Yu

Faculty Scholarship

Generative AI, machine learning and other computational uses of copyrighted works pose profound questions for copyright law. This article conducts of global survey of how different countries have attempted to answer these questions in relation to the unauthorized use of copyrighted works for training. Although the world has yet to achieve international consensus on this issue, an international equilibrium is emerging. Jurisdictions with common law and civil law traditions, and with varying economic conditions, technological capabilities, political systems, and cultural backgrounds, have found ways to reconcile copyright law and AI training. In this equilibrium, countries recognize that text data mining, …

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping”—the automated extraction of large amounts of data from the internet. A great deal of scraped data contains people’s personal information. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archiving of records, and meaningful scientific research, scraping for AI can also be objectionable and even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this …

Law As A Lamp Post, Janet Freilich

Faculty Scholarship

Law produces all manner of public information: court documents, securities filings, patents, property records, and much more. This information is used in a multitude of ways—it teaches readers about individual cases, transactions, or entities, and is also aggregated to inform policymaking, set priorities, and drive predictive analytics and artificial intelligence.

But choices about the information produced (or hidden) by law are often unintentional. Doctrines and institutions that appear facially unrelated to information production—like subject matter jurisdiction—nonetheless affect the shape and quantity of data produced. And even doctrines focused on information— like property recordation—create data used for purposes never envisioned by …

Gig Work At What Cost? Exploring Privacy Risks Of Gig Work Platform Participation In The U.S., Amogh Pradeep, Johanna Gunawan, Álvaro Feal, Woodrow Hartzog, David Choffnes

Faculty Scholarship

In recent years, "gig work" platforms have gained popularity as a way for individuals to earn money; as of 2021, 16% of Americans have at some point earned money from such platforms. Despite their popularity and their history of unfair data collection practices and worker safety, little is known about the data collected from workers (and users) by gig platforms and about the privacy dark pattern designs present in their apps.

This paper presents an empirical measurement of 16 gig work platforms' data practices in the U.S. We analyze what data is collected by these platforms, and how it is …

How Theories Of Art Can Inform Debates About Ai, Jessica Silbey

Faculty Scholarship

Debates about artificial intelligence (AI) tend to swing between the optimistic and the apocalyptic. I propose a less binary approach that frames conversations about AI from the perspectives of theories of art and creativity. Whether we agree that AI is artificial or intelligent, whether it should be constrained or liberated, we cannot deny its influence on literary, artistic, and innovative production. AI may be described as simply a new tool to produce art and science, like the camera or the microscope, or it may transform art and science, the way the internet transformed global communication. Either way, these debates about …

Consumer Agents, Rory Van Loo

Faculty Scholarship

In the twenty-first century economy, individuals need market help that they are not getting. The technology has long existed for a browser plug-in that would filter out toxic social media content or a virtual shopping assistant that would find and even purchase the best deals online without having to go to many different websites and product pages. Yet tech platforms have used lawsuits and data control to stifle such tools. The lack of digital helpers has potentially profound consequences. Social media use is linked to alarming increases in teenage depression and anxiety. Businesses’ ability to manipulate consumers into paying higher …