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 …

Big Data's Other Privacy Problem, James Grimmelmann

Faculty Scholarship

Big Data has not one privacy problem, but two. We are accustomed to talking about surveillance of data subjects. But Big Data also enables disconcertingly close surveillance of its users. The questions we ask of Big Data can be intensely revealing, but, paradoxically, protecting subjects' privacy can require spying on users. Big Data is an ideology of technology, used to justify the centralization of information and power in data barons, pushing both subjects and users into a kind of feudal subordination. This short and polemical essay uses the Bloomberg Terminal scandal as a window to illuminate Big Data's other privacy …

The Scored Society: Due Process For Automated Predictions, Danielle Keats Citron, Frank A. Pasquale

Faculty Scholarship

Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we are good credit risks, desirable employees, reliable tenants, valuable customers—or deadbeats, shirkers, menaces, and “wastes of time.” Crucial opportunities are on the line, including the ability to obtain loans, work, housing, and insurance. Though automated scoring is pervasive and consequential, it is also opaque and lacking oversight. In one area where regulation does prevail—credit—the law focuses on credit history, not the derivation of scores from data.

Procedural regularity is essential for those stigmatized by “artificially intelligent” scoring systems. The American due process tradition should inform …

Governing, Exchanging, Securing: Big Data And The Production Of Digital Knowledge, Bernard E. Harcourt

Faculty Scholarship

The emergence of Big Data challenges the conventional boundaries between governing, exchange, and security. It ambiguates the lines between commerce and surveillance, between governing and exchanging, between democracy and the police state. The new digital knowledge reproduces consuming subjects who wittingly or unwittingly allow themselves to be watched, tracked, linked and predicted in a blurred amalgam of commercial and governmental projects. Linking back and forth from consumer data to government information to social media, these new webs of information become available to anyone who can purchase the information. How is it that governmental, commercial and security interests have converged, coincided, …

Digital Security In The Expository Society: Spectacle, Surveillance, And Exhibition In The Neoliberal Age Of Big Data, Bernard E. Harcourt

Faculty Scholarship

In 1827, Nicolaus Heinrich Julius, a professor at the University of Berlin, identified an important architectural mutation in nineteenth-century society that reflected a deep disruption in our technologies of knowledge and a profound transformation in relations of power across society: Antiquity, Julius observed, had discovered the architectural form of the spectacle; but modern times had operated a fundamental shift from spectacle to surveillance. Michel Foucault would elaborate this insight in his 1973 Collège de France lectures on The Punitive Society, where he would declare: “[T]his is precisely what happens in the modern era: the reversal of the spectacle into surveillance…. …