In a new book, a sociologist who spent months embedded with the LAPD details how data-driven policing techwashes bias.
Machine Bias — ProPublica
There’s software used across the country to predict future criminals. And it’s biased against blacks.
What the latest research tells us about racial bias in policing
What we know, and importantly don't know, about the latest research on racial bias in policing.
Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial
Racial bias in predictive policing algorithms has been the focus of a number of recent news articles, statements of concern by several national organizations (e.g., the ACLU and NAACP), and simulat...
Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial
Racial bias in predictive policing algorithms has been the focus of a number of recent news articles, statements of concern by several national organizations (e.g., the ACLU and NAACP), and simulat...
Predictive Policing Explained
Attempts to forecast crime with algorithmic techniques could reinforce existing racial biases in the criminal justice system.
Predictive Policing and the Politics of Patterns
Abstract Patterns are the epistemological core of predictive policing. With the move towards digital prediction tools, the authority of the pattern is rearticulated and reinforced in police work. Based on empirical research about predictive policing software and practices, this article puts the authority of patterns into perspective. Introducing four ideal-typical styles of pattern identification, we illustrate that patterns are not based on a singular logic, but on varying rationalities that give form to and formalize different understandings about crime. Yet, patterns render such different modes of reasoning about crime, and the way in which they feed back into policing cultures, opaque. Ultimately, this invites a stronger reflection about the political nature of patterns.
Predictive Policing and the Politics of Patterns
Abstract. Patterns are the epistemological core of predictive policing. With the move towards digital prediction tools, the authority of the pattern is rea
In the face of rampant AI, is ‘data poisoning’ a new form of civil disobedience?
Boycotts, sabotage and other types of civil disobedience have long served collective action against injustice.
In the face of rampant AI, is ‘data poisoning’ a new form of civil disobedience?
Boycotts, sabotage and other types of civil disobedience have long served collective action against injustice.
The Most Violent Police Force in Europe: Police Brutality in France — The World Mind
Contributing Editor Aaron Shires explores the rise in excessive use of force by French police forces and the disparate impact this has on racial minorities in France.
Living in Data: A Citizen's Guide to a Better Information Future (Paperback)
Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century
How You Start is How You Finish? The Slave Patrol and Jim Crow Origins of Policing
Though history books may say otherwise, policing in the United States has its roots in the slave patrols in the South. The institution of policing, and the larger justice system, must reconcile its past to evolve away from its racist roots.
Trial Data Reveals Racial Bias in Age Verification Software
New trial data reveals racial bias in age verification software used for social media restrictions. Discover how unreliable these systems really are now.
NDIS data may have ended up in Palantir’s analytics platform as part of efforts to curb fraud
Exclusive: The Australian Criminal Intelligence Commission, which has access to NDIA data, used Palantir as part of a multi-agency fraud taskforce
Feminist Data Manifest-No
1. We refuse to operate under the assumption that risk and harm associated with data practices can be bounded to mean the same thing for everyone, everywhere, at every time. We commit to acknowledging how historical and systemic patterns of violence and exploitation produce differential vulnerabilities for communities.
How AI-powered policing is endangering the public’s trust in police
Growing concerns about police use of AI could erode the public’s perception of trust in the legal system.
