Law Commons^™

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 …