Law Commons^™

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 …

Machine-Generated Evidence, G. Alexander Nunn

Faculty Scholarship

Person-based evidence is no longer the monolith it once was. With technological advancement has come the rise of so-called "machine-generated evidence." Unlike traditional forms of evidence, the reliability of machine-generated evidence primarily depends not on any person’s actions—neither the quality of their perceptions nor their ability to carry out tasks—but instead on the standardized processes and mechanisms internal to the machine that produced it. As technological advancement continues apace, and new, innovative forms of machine-generated evidence reach the courtroom, judges and lawyers will be required to respond in two important ways.

First must come awareness of the unique nature of …

Artificial Financial Intelligence, William Magnuson

Faculty Scholarship

Recent advances in the field of artificial intelligence have revived long-standing debates about what happens when robots become smarter than humans. Will they destroy us? Will they put us all out of work? Will they lead to a world of techno-savvy haves and techno-ignorant have-nots? These debates have found particular resonance in finance, where computers already play a dominant role. High-frequency traders, quant hedge funds, and robo-advisors all represent, to a greater or lesser degree, real-world instantiations of the impact that artificial intelligence is having on the field. This Article will argue that the primary danger of artificial intelligence in …

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 …

Responsible A.I. Credit Scoring - A Legal Framework, Katja Langenbucher

Faculty Scholarship

No abstract provided.

Tech Dominance And The Policeman At The Elbow, Tim Wu

Faculty Scholarship

One school of thought takes much of law and the legal system as essentially irrelevant to the process of technological evolution. This view takes as axiomatic that the rate technological change is always accelerating, that any firm or institution dependent on a given technology is therefore doomed to a rapid obsolescence. Law, at best, risks interfering with a natural progression toward a better technological future, hindering “the march of civilization.”

This paper discusses the historical role of antitrust investigation in changing the course of technological development by focusing on the example of the IBM litigation (1969 - 1984). While widely …

Transparency After Carpenter, Hannah Bloch-Wehba

Faculty Scholarship

This brief invited response to Professor Matthew Tokson’s Foulston-Siefkin lecture on the Supreme Court's decision in Carpenter v. United States makes two contributions. First, I highlight the social, political, and economic factors at play in the Carpenter decision. The Carpenter Court recognized, in particular, that digital surveillance implicates the rights of more than just criminal suspects: it poses unique and unappreciated threats to public governance of policing. The decision, I argue, reflects longstanding preoccupations in Fourth Amendment decisions with protecting the “public” — particularly innocent third parties — from intrusive and baseless investigations. In so doing, I situate Professor Tokson’s …