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"The Scored Society: Due Process for Automated Predictions"

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.

Hate Crimes in Cyberspace

Most Internet users are familiar with trolling—aggressive, foul-mouthed posts designed to elicit angry responses in a site’s comments. Less familiar but far more serious is the way some use networked technologies to target real people, subjecting them, by name and address, to vicious, often terrifying, online abuse. In an in-depth investigation of a problem that is too often trivialized by lawmakers and the media, Danielle Keats Citron exposes the startling extent of personal cyber-attacks and proposes practical, lawful ways to prevent and punish online harassment.