Law Commons^™

Biobanks As Innovation Infrastructure For Translational Medicine, W. Nicholson Price Ii

Book Chapters

Biobanks represent an opportunity for the use of big data to drive translational medicine. Precision medicine demands data to shape treatments to individual patient characteristics; large datasets can also suggest new uses for old drugs or relationships between previously unlinked conditions. But these tasks can be stymied when data are siloed in different datasets, smaller biobanks, or completely proprietary private resources. This hampers not only analysis of the data themselves, but also efforts to translate data-based insights into actionable recommendations and to transfer the discovered technology into a commercialization pipeline. Cross-project technological innovation, development, and validation are all more difficult …

The Ironic Privacy Act, Margaret Hu

Scholarly Articles

This Article contends that the Privacy Act of 1974, a law intended to engender trust in government records, can be implemented in a way that inverts its intent. Specifically, pursuant to the Privacy Act's reporting requirements, in September 2017, the U.S. Department of Homeland Security (DHS) notified the public that record systems would be modified to encompass the collection of social media data. The notification justified the collection of social media data as a part of national security screening and immigration vetting procedures. However, the collection will encompass social media data on both citizens and noncitizens, and was not explicitly …

Hardware, Heartware, Or Nightmare: Smart-City Technology And The Concomitant Erosion Of Privacy, Leila Lawlor

Scholarly Articles

Smart-city technology is being adopted in cities all around the world to simplify our lives, save us time, ease traffic, improve education, reduce energy usage, and keep us healthy and safe. Its adoption is necessary because of changes that are predicted for urban dwellers over the next three decades; urban population and travel are predicted to increase dramatically and our population is graying, meaning the population will include a much greater number of elderly citizens. As these changes occur, smart-city technology can have a huge impact on public safety, improving the ability of law enforcement to investigate crimes, both with …

Exploring The Interfaces Between Big Data And Intellectual Property Law, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

This article reviews the application of several IP rights (copyright, patent, sui generis database right, data exclusivity and trade secret) to Big Data. Beyond the protection of software used to collect and process Big Data corpora, copyright’s traditional role is challenged by the relatively unstructured nature of the non-relational (noSQL) databases typical of Big Data corpora. This also impacts the application of the EU sui generis right in databases. Misappropriation (tort-based) or anti-parasitic behaviour protection might apply, where available, to data generated by AI systems that has high but short-lived value. Copyright in material contained in Big Data corpora must …

Toward The Personalization Of Copyright Law, Adi Libson, Gideon Parchomovsky

All Faculty Scholarship

In this Article, we provide a blueprint for personalizing copyright law in order to reduce the deadweight loss that stems from its universal application to all users, including those who would not have paid for it. We demonstrate how big data can help identify inframarginal users, who would not pay for copyrighted content, and we explain how copyright liability and remedies should be modified in such cases.

Privacy In The Age Of Medical Big Data, W. Nicholson Price Ii, I. Glenn Cohen

Articles

Big data has become the ubiquitous watch word of medical innovation. The rapid development of machine-learning techniques and artificial intelligence in particular has promised to revolutionize medical practice from the allocation of resources to the diagnosis of complex diseases. But with big data comes big risks and challenges, among them significant questions about patient privacy. Here, we outline the legal and ethical challenges big data brings to patient privacy. We discuss, among other topics, how best to conceive of health privacy; the importance of equity, consent, and patient governance in data collection; discrimination in data uses; and how to handle …

Antidiscriminatory Algorithms, Stephanie Bornstein

UF Law Faculty Publications

Can algorithms be used to advance equality goals in the workplace? A handful of legal scholars have raised concerns that the use of big data at work may lead to protected class discrimination that could fall outside the reach of current antidiscrimination law. Existing scholarship suggests that, because algorithms are “facially neutral,” they pose no problem of unequal treatment. As a result, algorithmic discrimination cannot be challenged using a disparate treatment theory of liability under Title VII of the Civil Rights Act of 1964 (Title VII). Instead, it presents a problem of unequal outcomes, subject to challenge using Title VII’s …

Automation And Predictive Analytics In Patent Prosecution: Uspto Implications And Policy, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor-examiner interaction to machine-human interactions. In response to automated patent drafting, automated office-action responses, "cloems" (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor-examiner relationship as a "patenting market," economic principles suggest stronger efficiencies if both inventors and the USPTO have better information …

A Note On Science, Legal Research And Artificial Intelligence, Sean Goltz, Giulia Dondoli

Research outputs 2014 to 2021

This paper discusses the principles of scientific research and in turn review legal research that was done using Artificial Intelligence arguing that it is the tools (Artificial Intelligence) that take center stage while the meaning (legal research) is left back stage. In turn, this kind of research does not adhere to the fundamentals of scientific research nor comply with scientific and industry ethical codes.

Fintech And The Innovation Trilemma, Yesha Yadav, Chris Brummer

Vanderbilt Law School Faculty Publications

Whether in response to roboadvising, artificial intelligence, or crypto-currencies like Bitcoin, regulators around the world have made it a top policy priority to supervise the exponential growth of financial technology (or "fintech") in the post-Crisis era. However, applying traditional regulatory strategies to new technological ecosystems has proven conceptually difficult. Part of the challenge lies in the tradeoffs involved in regulating innovations that could conceivably both help and hurt consumers and market participants alike. Problems also arise from the common assumption that today's fintech is a mere continuation of the story of innovation that has shaped finance for centuries.

This Article …

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

The Promises And Perils Of Using Big Data To Regulate Nonprofits, Lloyd Histoshi Mayer

Journal Articles

For the optimist, government use of “Big Data” involves the careful collection of information from numerous sources. The government then engages in expert analysis of those data to reveal previously undiscovered patterns. Discovering patterns revolutionizes the regulation of criminal behavior, education, health care, and many other areas. For the pessimist, government use of Big Data involves the haphazard seizure of information to generate massive databases. Those databases render privacy an illusion and result in arbitrary and discriminatory computer-generated decisions. The reality is, of course, more complicated. On one hand, government use of Big Data may lead to greater efficiency, effectiveness, …