surveillance

“COIN,” the counter-terrorism doctrine the United States used during the Iraq War, was in criminological terms overly reliant on militarized “incapacitationist” strategies. Based a on competing “societal reactions” or community-level labeling theory, we argue that COIN failed to anticipate but predictably produced state-based “legal cynicism” in Arab Sunni communities—increasing rather than decreasing politically defiant terrorist crimes.

Over the past four decades, and especially in the aftermath of the 9/11 attacks, many countries around the world have passed various types of counterterrorist legislation. It remains unclear, however, whether such laws are effective in achieving their most important declared goal: reducing terrorist activities. Some scholars believe that counterterrorist legislation should indeed reduce terrorist activities through protecting people and infrastructure, disrupting terrorist plots, and deterring some potential terrorists.

Over the last decade China has undergone a transformation. After the dark days of the Cultural Revolution, it has emerged as one of the twenty-first century's most powerful economies, with millions of citizens now entering the middle class. Yet, despite these rapid changes, China's human rights record remains abysmal, and a heavy shroud of secrecy protects the one-party system from accountability. In In the Shadow of the Rising Dragon, Chinese citizens from all walks of life share their stories of brutality and oppression.

Just as she did with North Korea, award-winning journalist Barbara Demick explores one of the most hidden corners of the world. She tells the story of a Tibetan town perched eleven thousand feet above sea level that is one of the most difficult places in all of China for foreigners to visit. Ngaba was one of the first places where the Tibetans and the Chinese Communists encountered one another. In the 1930s, Mao Zedong's Red Army fled into the Tibetan plateau to escape their adversaries in the Chinese Civil War.

From the 1960s until the early 1990s, the South African security police and counterinsurgency units collected over 7,000 photographs of apartheid’s enemies. The political rogue’s gallery was known as the “terrorist album,” copies of which were distributed covertly to police stations throughout the country. Many who appeared in the album were targeted for surveillance. Sometimes the security police tried to turn them; sometimes the goal was elimination.

This paper draws on regulatory governance scholarship to argue that the analytic phenomenon currently known as ‘Big Data’ can be understood as a mode of ‘design-based’ regulation. Although Big Data decision-making technologies can take the form of automated decision-making systems, this paper focuses on algorithmic decision-guidance techniques.

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.

Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector.

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.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.