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The World According to Artificial Intelligence (Part 2)
The World According to Artificial Intelligence – The Bias in the Machine (Part 2)
Artificial intelligence might be a technological revolution unlike any other, transforming our homes, our work, our lives; but for many – the poor, minority groups, the people deemed to be expendable – their picture remains the same.
Patrick Ball is interviewed: “The question should be, Who bears the cost when a system is wrong?”
Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.
Romesh Silva and Jasmine Marwaha. “Collecting Sensitive Human Rights Data in the Field: A Case Study from Amritsar, India.” In JSM Proceedings, Social Statistics Section. Alexandria, VA. © 2011 American Statistical Association. All rights reserved.
The impact of overbooking on a pre-trial risk assessment tool
Kristian Lum, Chesa Boudin and Megan Price (2020). The impact of overbooking on a pre-trial risk assessment tool. FAT* ’20: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency. January 2020. Pages 482–491. https://doi.org/10.1145/3351095.3372846 ©ACM, Inc., 2020.
Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY)
Responses to questions from ICTY office Corrigendum: Killings and Refugee Flow in Kosovo, March–June, 1999 (A report to ICTY) . © 2002 AAAS and ABA CEELI.
HRDAG Wins the Rafto Prize
Evaluation of the Kosovo Memory Book
Machine learning is being used to uncover the mass graves of Mexico’s missing
“Patrick Ball, HRDAG’s Director of Research and the statistician behind the code, explained that the Random Forest classifier was able to predict with 100% accuracy which counties that would go on to have mass graves found in them in 2014 by using the model against data from 2013. The model also predicted the counties that did not have mass hidden graves found in them, but that show a high likelihood of the possibility. This prediction aspect of the model is the part that holds the most potential for future research.”
HRDAG at Strata Conference 2014
In Solidarity
Reflections: The People Who Make the Data
PredPol amplifies racially biased policing
HRDAG associate William Isaac is quoted in this article about how predictive policing algorithms such as PredPol exacerbate the problem of racial bias in policing.
Seeking the Truth with Documentation
Reflections: HRDAG Was Born in Washington
Reflections: Challenging Tasks and Meticulous Defenders
Overbooking’s Impact on Pre-Trial Risk Assessment Tools
Welcoming Our New HRDAG Data Scientist
The World According to Artificial Intelligence (Part 1)
The World According to Artificial Intelligence: Targeted by Algorithm (Part 1)
The Big Picture: The World According to AI explores how artificial intelligence is being used today, and what it means to those on its receiving end.
Patrick Ball is interviewed: “Machine learning is pretty good at finding elements out of a huge pool of non-elements… But we’ll get a lot of false positives along the way.”
How Many Peruvians Have Died?
Patrick Ball, Jana Asher, David Sulmont, and Daniel Manrique. “How Many Peruvians Have Died?” © 2003 American Association for the Advancement of Science.
Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.
Françoise Roth, Tamy Guberek, and Amelia Hoover Green. “Using Quantitative Data to Assess Conflict-Related Sexual Violence in Colombia: Challenges and Opportunities.” A report by the Benetech Human Rights Program and Corporación Punto de Vista. 22 March 2011. (Spanish.) © 2011 Benetech. Creative Commons BY-NC-SA.
Full Updated Statistical Analysis of Documentation of Killings in the Syrian Arab Republic
Price, Megan, Jeff Klingner, Anas Qtiesh, and Patrick Ball. 2013. Commissioned by the United Nations Office of the High Commissioner for Human Rights (OHCHR). Human Rights Data Analysis Group (June 13). © 2013 HRDAG. Creative Commons BY-NC-SA. [pdf via UN]