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Syria 2012 â Modeling Multiple Datasets in an Ongoing Conflict
State Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chadâs DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.
Romesh Silva, Jeff Klingner, and Scott Weikart. âState Coordinated Violence in Chad under Hissene Habre: A Statistical Analysis of Reported Prison Mortality in Chadâs DDS Prisons and Command Responsibility of Hissene Habre, 1982-1990.â A Report by Benetechâs Human Rights Data Analysis Group to Human Rights Watch and the Chadian Association of Victims of Political Repression and Crimes. 29 January 2010. (Available in French) © 2010 Benetech. Creative Commons BY-NC-SA.
Violent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis
Romesh Silva, Jasmine Marwaha and Jeff Klingner. âViolent Deaths and Enforced Disappearances During the Counterinsurgency in Punjab, India: A Preliminary Quantitative Analysis,â A Joint Report by Benetechâs Human Rights Data Analysis Group & Ensaaf, Inc. January, 2009.
How Many Peruvians Have Died?
Patrick Ball, Jana Asher, David Sulmont, and Daniel Manrique. âHow Many Peruvians Have Died?â © 2003 American Association for the Advancement of Science.
Preliminary Statistical Analysis of AVCRP & DDS Documents â A report to Human Rights Watch about Chad under the government of HissĂšne HabrĂ©
Miguel Cruz, Kristen Cibelli, and Jana Dudukovic. âPreliminary Statistical Analysis of AVCRP & DDS Documents â A report to Human Rights Watch about Chad under the government of HissĂšne HabrĂ©â. Benetech. November 4, 2003.
Statistics and Slobodan
Patrick Ball and Jana Asher (2002). âStatistics and Slobodan: Using Data Analysis and Statistics in the War Crimes Trial of Former President Milosevic.â Chance, vol. 15, No. 4, 2002. Reprinted with permission ofChance. © 2002 American Statistical Association. All rights reserved.
HRDAG Testifies in HissÚne Habré Trial
Civil War in Syria: The Internet as a Weapon of War
Reflections: The G in HRDAG is the Real Fuel
What HBR Gets Wrong About Algorithms and Bias
“Kristian Lum… organized a workshop together with Elizabeth Bender, a staff attorney for the NY Legal Aid Society and former public defender, and Terrence Wilkerson, an innocent man who had been arrested and could not afford bail. Together, they shared first hand experience about the obstacles and inefficiencies that occur in the legal system, providing valuable context to the debate around COMPAS.”
The Data Scientist Helping to Create Ethical Robots
Kristian Lum is focusing on artificial intelligence and the controversial use of predictive policing and sentencing programs.
Whatâs the relationship between statistics and AI and machine learning?
AI seems to be a sort of catchall for predictive modeling and computer modeling. There was this great tweet that said something like, âItâs AI when youâre trying to raise money, ML when youâre trying to hire developers, and statistics when youâre actually doing it.â I thought that was pretty accurate.
Palantir Has Secretly Been Using New Orleans to Test Its Predictive Policing Technology
One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleansâ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. âI think the data theyâre using, there are serious questions about its predictive power. Weâve seen very little about its ability to forecast violent crime,â Isaac said.
Big data may be reinforcing racial bias in the criminal justice system
Laurel Eckhouse (2017). Big data may be reinforcing racial bias in the criminal justice system. Washington Post. 10 February 2017. © 2017 Washington Post.
Rise of the racist robots â how AI is learning all our worst impulses
âIf youâre not careful, you risk automating the exact same biases these programs are supposed to eliminate,â 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 âlearningâ from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is âespecially nefariousâ because police can say: âWeâre not being biased, weâre just doing what the math tells us.â And the public perception might be that the algorithms are impartial.
Mapping Mexicoâs hidden graves
When Patrick Ball was introduced to Iberoâs database, the director of research at the Human Rights Data Analysis Group in San Francisco, California, saw an opportunity to turn the data into a predictive model. Ball, who has used similar models to document human rights violations from Syria to Guatemala, soon invited Data CĂvica, a Mexico Cityâbased nonprofit that creates tools for analyzing data, to join the project.
The ghost in the machine
“Every kind of classification system – human or machine – has several kinds of errors it might make,” [Patrick Ball] says. “To frame that in a machine learning context, what kind of error do we want the machine to make?” HRDAG’s work on predictive policing shows that “predictive policing” finds patterns in police records, not patterns in occurrence of crime.
Data-driven crime prediction fails to erase human bias
Work by HRDAG researchers Kristian Lum and William Isaac is cited in this article about the Policing Project: “While this bias knows no color or socioeconomic class, Lum and her HRDAG colleague William Isaac demonstrate that it can lead to policing that unfairly targets minorities and those living in poorer neighborhoods.”
Los asesinatos de lĂderes sociales que quedan fuera de las cuentas
Una investigaciĂłn de Dejusticia y Human Rights Data Analysis Group concluyĂł que hay un subconteo en los asesinatos de lĂderes sociales en Colombia. Es decir, que el aumento de estos crĂmenes en 2016 y 2017 podrĂa ser incluso mayor al reportado por las organizaciones y por las cifras oficiales.
Estimating the human toll in Syria
Megan Price (2017). Estimating the human toll in Syria. Nature. 8 February 2017. © 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Human Behaviour. ISSN 2397-3374.