Law

How can we make sense of human rights in China's authoritarian Party-State system? Eva Pils offers a nuanced account of this contentious area, examining human rights as a set of social practices. Drawing on a wide range of resources including years of interaction with Chinese human rights defenders, Pils discusses what gives rise to systematic human rights violations, what institutional avenues of protection are available, and how social practices of human rights defence have evolved. 

These chapters by eight Korea specialists present a new approach to human rights issues in Korea. Instead of using an external and purely contemporary standard, the authors work from within Korean history, treating the successive phases of Korea’s modern century to examine the uneasy fate of human rights and some of the ideas of human rights as they have developed in the Korean context.

Human rights conditions in the People’s Republic of China (PRC) remain a central issue in U.S.-China ties. Different perceptions of human rights are an underlying source of mutual misunderstanding and mistrust. Frictions on human rights issues affect other issues in the bilateral relationship, including those related to economics and security. China’s weak rule of law and restrictions on information affect U.S. companies doing business in the PRC.

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impacts. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race; (2) adjustments to algorithmic design to equalize predictions across racial lines; and (3) rejection of algorithmic methods altogether.

Algorithms, particularly machine learning (ML) algorithms, are increasingly important to individuals’ lives, but have caused a range of concerns revolving mainly around unfairness, discrimination and opacity. Transparency in the form of a “right to an explanation” has emerged as a compellingly attractive remedy since it intuitively promises to open the algorithmic “black box” to promote challenge, redress, and hopefully heightened accountability. Amidst the general furore over algorithmic bias we describe, any remedy in a storm has looked attractive.

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.

Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives.

There’s a common belief that cyberspace cannot be regulated-that it is, in its very essence, immune from the government’s (or anyone else’s) control. Code, first published in 2000, argues that this belief is wrong. It is not in the nature of cyberspace to be unregulable; cyberspace has no “nature.” It only has code-the software and hardware that make cyberspace what it is. That code can create a place of freedom-as the original architecture of the Net did-or a place of oppressive control.

The Rise of Big Data Policing introduces the cutting-edge technology that is changing how the police do their jobs and shows why it is more important than ever that citizens understand the far-reaching consequences of big data surveillance as a law enforcement tool. Andrew Guthrie Ferguson reveals how these new technologies —viewed as race-neutral and objective—have been eagerly adopted by police departments hoping to distance themselves from claims of racial bias and unconstitutional practices.

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.