Science and Technology Law Commons^™

Intellectual Property Exhaustion And Parallel Imports Of Pharmaceuticals: A Comparative And Critical Review, Irene Calboli

Faculty Scholarship

This Chapter addresses the topic of intellectual property (IP) exhaustion in the context of the parallel trade of pharmaceuticals. These imports, which are controversial in general, are more complex with respect to pharmaceuticals, which require additional marketing and import authorizations. Nevertheless, individual countries remain free to accept these imports under the flexibility of Article 6 of the Agreement on Trade Related Aspects to Intellectual Property Rights (TRIPS Agreement). This Chapter reviews several national approaches—in developed, developing, and least developed countries (LDCs)—from the perspective of the exhaustion of patent rights as well as other IP rights. Through this review, it highlights …

Replicability In Empirical Legal Research, Jason Chin, Kathryn Zeiler

Faculty Scholarship

As part of a broader methodological reform movement, scientists are increasingly interested in improving the replicability of their research. Replicability allows others to perform replications to explore potential errors and statistical issues that might call the original results into question. Little attention, however, has been paid to the state of replicability in the field of empirical legal research (ELR). Quality is especially important in this field because empirical legal researchers produce work that is regularly relied upon by courts and other legal bodies. In this review article, we summarize the current state of ELR relative to the broader movement towards …

Transparency's Ai Problem, Hannah Bloch-Wehba

Faculty Scholarship

A consensus seems to be emerging that algorithmic governance is too opaque and ought to be made more accountable and transparent. But algorithmic governance underscores the limited capacity of transparency law—the Freedom of Information Act and its state equivalents—to promote accountability. Drawing on the critical literature on “open government,” this Essay shows that algorithmic governance reflects and amplifies systemic weaknesses in the transparency regime, including privatization, secrecy, private sector cooptation, and reactive disclosure. These deficiencies highlight the urgent need to reorient transparency and accountability law toward meaningful public engagement in ongoing oversight. This shift requires rethinking FOIA’s core commitment to …

Federal Rules Of Platform Procedure, Rory Van Loo

Faculty Scholarship

Tech platforms serve as private courthouses for disputes about speech, lodging, commerce, elections, and reputation. After receiving allegations of defamatory content in top search results, Google must decide between protecting one person's public image and another's profits or speech. Amazon adjudicates disputes between consumers and third-party merchants about defective or counterfeit items. For many small businesses, layoffs and bankruptcy hang in the balance. This Article begins to uncover the processes that these platforms use to resolve disputes and proposes reforms. Other important businesses that intermediate, such as credit card companies ruling on a disputed charge between a merchant and consumer, …

Data Autonomy, Cesare Fracassi, William Magnuson

Faculty Scholarship

In recent years, “data privacy” has vaulted to the forefront of public attention. Scholars, policymakers, and the media have, nearly in unison, decried the lack of data privacy in the modern world. In response, they have put forth various proposals to remedy the situation, from the imposition of fiduciary obligations on technology platforms to the creation of rights to be forgotten for individuals. All these proposals, however, share one essential assumption: we must raise greater protective barriers around data. As a scholar of corporate finance and a scholar of corporate law, respectively, we find this assumption problematic. Data, after all, …

A Unified Theory Of Data, William Magnuson

Faculty Scholarship

How does the proliferation of data in our modern economy affect our legal system? Scholars that have addressed the question have nearly universally agreed that the dramatic increases in the amount of data available to companies, as well as the new uses to which that data is being put, raise fundamental problems for our regulatory structures. But just what those problems might be remains an area of deep disagreement. Some argue that the problem with data is that current uses lead to discriminatory results that harm minority groups. Some argue that the problem with data is that it impinges on …

Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim

Faculty Scholarship

The shift towards the use of algorithms in business has transformed merchant–consumer interactions. Products and services are increasingly tailored for consumers through algorithms that collect and analyze vast amounts of data from interconnected devices, digital platforms, and social networks. While traditionally merchants and marketeers have utilized market segmentation, customer demographic profiles, and statistical approaches, the exponential increase in consumer data and computing power enables them to develop and implement algorithmic techniques that change consumer markets and society as a whole. Algorithms enable targeting of consumers more effectively, in real-time, and with high predictive accuracy in pricing and profiling strategies. In …

Beyond Transparency And Accountability: Three Additional Features Algorithm Designers Should Build Into Intelligent Platforms, Peter K. Yu

Faculty Scholarship

In the age of artificial intelligence, innovative businesses are eager to deploy intelligent platforms to detect and recognize patterns, predict customer choices and shape user preferences. Yet such deployment has brought along the widely documented problems of automated systems, including coding errors, corrupt data, algorithmic biases, accountability deficits and dehumanizing tendencies. In response to these problems, policymakers, commentators and consumer advocates have increasingly called on businesses seeking to ride the artificial intelligence wave to build transparency and accountability into algorithmic designs.

While acknowledging these calls for action and appreciating the benefits and urgency of building transparency and accountability into algorithmic …

Mandating Disclosure Of Climate-Related Financial Risk, Madison Condon, Sarah Ladin, Jack Lienke, Michael Panfil, Alexander Song

Faculty Scholarship

Climate change presents grave risk across the U.S. economy, including to corporations, their investors, the markets in which they operate, and the American public at large. Unlike other financial risks, however, climate risk is not routinely disclosed to the public. Insufficient corporate disclosures have persisted despite the Securities and Exchange Commission’s (“SEC”) issuance of regulatory guidance on the topic, the emergence of voluntary disclosure frameworks and standards, and growing calls from major investors for improved disclosure. Given the inadequacy of the current regime, the SEC should take further action to fulfill its statutory mandate to protect investors and promote efficiency, …

A Code Of Ethics For Gene Drive Research, George J. Annas, Chase L. Beisel, Kendell Clement, Andrea Crisanti, Stacy Francis, Marco Galardini, Roberto Galizi, Julian Grunewald, Greta Immobile, Ahmad S. Khalil, Ruth Muller, Vikram Pattanayak, Karl Petri, Ligi Paul, Luca Pinello, Alekos Simoni, Chrysanthi Taxiarchi, J. Keith Joung

Faculty Scholarship

Gene drives hold promise for use in controlling insect vectors of diseases, agricultural pests, and for conservation of ecosystems against invasive species. At the same time, this technology comes with potential risks that include unknown downstream effects on entire ecosystems as well as the accidental or nefarious spread of organisms that carry the gene drive machinery. A code of ethics can be a useful tool for all parties involved in the development and regulation of gene drives and can be used to help ensure that a balanced analysis of risks, benefits, and values is taken into consideration in the interest …

The Easterbrook Theorem: An Application To Digital Markets, Joshua D. Wright, Murat C. Mungan

Faculty Scholarship

The rise of large firms in the digital economy, including Amazon, Apple, Facebook, and Google, has rekindled the debate about monopolization law. There are proposals to make finding liability easier against alleged digital monopolists by relaxing substantive standards; to flip burdens of proof; and to overturn broad swaths of existing Supreme Court precedent, and even to condemn a law review article. Frank Easterbrook’s seminal 1984 article, The Limits of Antitrust, theorizes that Type I error costs are greater than Type II error costs in the antitrust context, a proposition that has been woven deeply into antitrust law by the Supreme …

Artificial Intelligence As Evidence, Paul W. Grimm, Maura R. Grossman, Gordon V. Cormack

Faculty Scholarship

This article explores issues that govern the admissibility of Artificial Intelligence (“AI”) applications in civil and criminal cases, from the perspective of a federal trial judge and two computer scientists, one of whom also is an experienced attorney. It provides a detailed yet intelligible discussion of what AI is and how it works, a history of its development, and a description of the wide variety of functions that it is designed to accomplish, stressing that AI applications are ubiquitous, both in the private and public sectors. Applications today include: health care, education, employment-related decision-making, finance, law enforcement, and the legal …

Fedaccounts: Digital Dollars, John Crawford, Lev Menand, Morgan Ricks

Faculty Scholarship

We are entering a new monetary era. Central banks around the world – spurred by the development of privately controlled digital currencies as well as competition from other central banks – have been studying, building, and, in some cases, issuing central bank digital currency (“CBDC”).

Although digital fiat currency is one of the hottest topics in macroeconomics and central banking today, the discussion has largely overlooked the most straightforward and appealing strategy for implementing a U.S. dollar-based CBDC: expanding access to bank accounts that the Federal Reserve already offers to a small, favored set of clients. These accounts consist of …

Normative Dimensions Of Consensual Application Of Black Box Artificial Intelligence In Administrative Adjudication Of Benefits Claims, Frank Pasquale

Faculty Scholarship

No abstract provided.

Constructing Countervailing Power: Law And Organizing In An Era Of Political Inequality, Kate Andrias

Faculty Scholarship

This Article proposes an innovative approach to remedying the crisis of political inequality: using law to facilitate organizing by the poor and working class, not only as workers, but also as tenants, debtors, welfare beneficiaries, and others. The piece draws on the social-movements literature, and the successes and failures of labor law, to show how law can supplement the deficient regimes of campaign finance and lobbying reform and enable lower-income groups to build organizations capable of countervailing the political power of the wealthy. As such, the Article offers a new direction forward for the public-law literature on political power and …

How The Administrative State Got To This Challenging Place, Peter L. Strauss

Faculty Scholarship

Written for a dispersed agrarian population using hand tools in a local economy, our Constitution now controls an American government orders of magnitude larger that has had to respond to profound changes in transportation, communication, technology, economy, and scientific understanding. How did our government get to this place? The agencies Congress has created to meet these changes now face profound new challenges: transition from the paper to the digital age; the increasing centralization in an opaque, political presidency of decisions that Congress has assigned to diverse, relatively expert and transparent bodies; the thickening, as well, of the political layer within …

Artificial Intelligence, The Law-Machine Interface, And Fair Use Automation, Peter K. Yu

Faculty Scholarship

From IBM Watson's success in Jeopardy! to Google DeepMind's victories in Go, the past decade has seen artificial intelligence advancing in leaps and bounds. Such advances have captured the attention of not only computer experts and academic commentators but also policymakers, the mass media and the public at large. In recent years, legal scholars have also actively explored how artificial intelligence will impact the law. Such exploration has resulted in a fast-growing body of scholarship.

One area that has not received sufficient policy and scholarly attention concerns the law-machine interface in a hybrid environment in which both humans and intelligent …

Privacy In Pandemic: Law, Technology, And Public Health In The Covid-19 Crisis, Tiffany Li

Faculty Scholarship

The COVID-19 pandemic has caused millions of deaths and disastrous consequences around the world, with lasting repercussions for every field of law, including privacy and technology. The unique characteristics of this pandemic have precipitated an increase in use of new technologies, including remote communications platforms, healthcare robots, and medical AI. Public and private actors are using new technologies, like heat sensing, and technologically-influenced programs, like contact tracing, alike in response, leading to a rise in government and corporate surveillance in sectors like healthcare, employment, education, and commerce. Advocates have raised the alarm for privacy and civil liberties violations, but the …

A Proposal For Taxing Cryptocurrency In The Midst Of The Covid-19 Pandemic, Richard Thompson Ainsworth, Xiuyuan (Tony) Hu

Faculty Scholarship

In this article, the authors present the case for a globally effective remedial tax on cryptocurrency transactions that could help fund multinational relief efforts, such as providing aid to jurisdictions affected by the COVID-19 virus and countries fighting the opioid crisis.

Why We (Probably) Must Deliberately Infect, Adam J. Kolber

Faculty Scholarship

No abstract provided.

Gdpr And The Importance Of Data To Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans

Faculty Scholarship

What is the impact of the European Union’s General Data Protection Regime (“GDPR”) and data regulation on AI startups? How important is data to AI product development? We study these questions using unique survey data of commercial AI startups. AI startups rely on data for their product development. Given the scale and scope of their business models, these startups are particularly susceptible to policy changes impacting data collection, storage and use. We find that training data and frequent model refreshes are particularly important for AI startups that rely on neural nets and ensemble learning algorithms. We also find that firms …

Geneva Statement On Heritable Human Genome Editing: The Need For Course Correction, Roberto Andorno, Francoise Baylis, Marcy Darnovsky, Donna Dickenson, Hille Haker, Katie Hasson, Leah Lowthorp, George J. Annas, Catherine Bourgain, Katherine Drabiak, Sigrid Graumann, Katrin Grüber, Matthias Kaiser, David King, Regine Kollek, Calum Mackellar, Jing-Bao Nie, Osagie K. Obasogie, Mirriam Tyebally Fang, Gabriele Werner-Felmayer, Jana Zuscinova

Faculty Scholarship

As public interest advocates, policy experts, bioethicists, and scientists, we call for a course correction in public discussions about heritable human genome editing. Clarifying misrepresentations, centering societal consequences and concerns, and fostering public empowerment will support robust, global public engagement and meaningful deliberation about altering the genes of future generations.

Automation In Moderation, Hannah Bloch-Wehba

Faculty Scholarship

This Article assesses recent efforts to encourage online platforms to use automated means to prevent the dissemination of unlawful online content before it is ever seen or distributed. As lawmakers in Europe and around the world closely scrutinize platforms’ “content moderation” practices, automation and artificial intelligence appear increasingly attractive options for ridding the Internet of many kinds of harmful online content, including defamation, copyright infringement, and terrorist speech. Proponents of these initiatives suggest that requiring platforms to screen user content using automation will promote healthier online discourse and will aid efforts to limit Big Tech’s power.

In fact, however, the …

Can Algorithms Promote Fair Use?, Peter K. Yu

Faculty Scholarship

In the past few years, advances in big data, machine learning and artificial intelligence have generated many questions in the intellectual property field. One question that has attracted growing attention concerns whether algorithms can be better deployed to promote fair use in copyright law. The debate on the feasibility of developing automated fair use systems is not new; it can be traced back to more than a decade ago. Nevertheless, recent technological advances have invited policymakers and commentators to revisit this earlier debate.

As part of the Symposium on "Intelligent Entertainment: Algorithmic Generation and Regulation of Creative Works," this Article …

The Automated Administrative State: A Crisis Of Legitimacy, Danielle K. Citron, Ryan Calo

Faculty Scholarship

The legitimacy of the administrative state is premised on our faith in agency expertise. Despite their extra-constitutional structure, administrative agencies have been on firm footing for a long time in reverence to their critical role in governing a complex, evolving society. They are delegated enormous power because they respond expertly and nimbly to evolving conditions.

In recent decades, state and federal agencies have embraced a novel mode of operation: automation. Agencies rely more and more on software and algorithms in carrying out their delegated responsibilities. The automated administrative state, however, is demonstrably riddled with concerns. Legal challenges regarding the denial …

Disability And Design, Christopher Buccafusco

Faculty Scholarship

When scholars contemplate the legal tools available to policymakers for encouraging innovation, they primarily think about patents. If they are keeping up with the most recent literature, they may also consider grants, prizes, and taxes as means to increase the supply of innovation. But the innovation policy toolkit is substantially deeper than that. To demonstrate its depth, this Article explores the evolution of designs that help people with disabilities access the world around them. From artificial limbs to the modern wheelchair and the reshaping of the built environment, a variety of legal doctrines have influenced, for better and for worse, …

Nascent Competitors, C. Scott Hemphill, Tim Wu

Faculty Scholarship

A nascent competitor is a firm whose prospective innovation represents a serious threat to an incumbent. Protecting such competition is a critical mission for antitrust law, given the outsized role of unproven outsiders as innovators and the uniquely potent threat they often pose to powerful entrenched firms. In this Article, we identify nascent competition as a distinct analytical category and outline a program of antitrust enforcement to protect it. We make the case for enforcement even where the ultimate competitive significance of the target is uncertain, and explain why a contrary view is mistaken as a matter of policy and …

Fixing America's Founding, Maeve Glass

Faculty Scholarship

The forty-fifth presidency of the United States has sent lawyers reaching once more for the Founders’ dictionaries and legal treatises. In courtrooms, law schools, and media outlets across the country, the original meanings of the words etched into the U.S. Constitution in 1787 have become the staging ground for debates ranging from the power of a president to trademark his name in China to the rights of a legal permanent resident facing deportation. And yet, in this age when big data promises to solve potential challenges of interpretation and judges have for the most part agreed that original meaning should …

The Promise And Limits Of Cyber Power In International Law: Remarks, Monica Hakimi, Ann Väljataga, Zhixiong Huang, Charles Allen, Sue Robertson, Doug Wilson

Faculty Scholarship

Hi, everyone. I am Monica Hakimi from the University of Michigan Law School, and I would like to welcome you to our panel on cyber power and its limits. The topic almost does not need an introduction. We all know just from reading the news that our collective dependence on cyberspace is also a huge vulnerability, and state and non-state actors exploit this vulnerability to do one another harm. They use cyber technologies not just to spy on one another, but also, for example, to interfere in national elections, to steal trade secrets or other valuable information, to disrupt the …

People Not Machines: Authorship And What It Means In International Copyright Law, Jane C. Ginsburg

Faculty Scholarship

This chapter recapitulates Professor Ricketson’s analysis in his 1992 Manges Lecture at Columbia Law School, presciently titled 'People or Machines: The Berne Convention and the Changing Concept of Authorship'. As Ricketson systematically developed the inquiry, it became clear that ‘People or Machines’ in fact meant ‘People Not Machines’. This chapter considers whether, more than twenty-five years later, subsequent technological developments warrant reconsideration of the human authorship premise underlying the Berne Convention. If that premise holds firm, the next question is whether non-human-generated outputs require some form of intellectual property protection. Any such regime, it should be noted, would fall outside …