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How We Choose Projects
Why raw data doesn't support analysis of violence
Courts and police departments are turning to AI to reduce bias, but some argue it’ll make the problem worse
Kristian Lum: “The historical over-policing of minority communities has led to a disproportionate number of crimes being recorded by the police in those locations. Historical over-policing is then passed through the algorithm to justify the over-policing of those communities.”
How a Data Tool Tracks Police Misconduct and Wandering Officers
Karl E. Peace Award Recognizes Work of Patrick Ball
The American Statistical Association’s 2018 Karl E. Peace Award for Outstanding Statistical Contributions for the Betterment of Society recently recognized the work of leading human rights mathematician Patrick Ball of the Human Rights Data Analysis Group (HRDAG). The award is presented annually to statisticians whose exemplary statistical research is matched by the impact their work has had on the lives of people.
Established by the family of Karl E. Peace in honor of his work for the good of society, the award—announced at the Joint Statistical Meetings—is bestowed upon distinguished individual(s) who have made substantial contributions to the statistical profession, contributions that have led in direct ways to improving the human condition. Recipients will have demonstrated through their accomplishments their commitment to service for the greater good.”
This year, Ball became the 10th recipient of the award. Read more …
Mexico
Letter from the Executive Director
Human Rights Violations: How Do We Begin Counting the Dead?
Evaluation of the Kosovo Memory Book at Pristina
SermonNew death toll estimated in Syrian civil war
Kevin Uhrmacher of the Washington Post prepared a graph that illustrates reported deaths over time, by number of organizations reporting the deaths.
Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY).
Patrick Ball, Wendy Betts, Fritz Scheuren, Jana Dudukovic, and Jana Asher. Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY). © 2002 American Association for the Advancement of Science and American Bar Association Central and East European Law Initiative. [full text]
Where Stats and Rights Thrive Together
Learning a Modular, Auditable and Reproducible Workflow
Rise of the racist robots – how AI is learning all our worst impulses
“If you’re not careful, you risk automating the exact same biases these programs are supposed to eliminate,” says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was “learning” from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is “especially nefarious” because police can say: “We’re not being biased, we’re just doing what the math tells us.” And the public perception might be that the algorithms are impartial.
Judges in Habré Trial Cite HRDAG Analysis
Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project
Patrick Ball. Who Did What to Whom? Planning and Implementing a Large Scale Human Rights Data Project. © 1996 American Association for the Advancement of Science.