710 results for search: %E3%80%94%EC%A4%91%EB%85%84%ED%8F%B0%ED%8C%85%E3%80%95%20WWW%E0%BC%9DPAYO%E0%BC%9DPW%20%20%EB%B2%95%EC%A0%84%EB%A7%8C%EB%82%A8%ED%86%A1%20%EB%B2%95%EC%A0%84%EB%AA%A8%EC%9E%84%EC%96%B4%ED%94%8C%E2%88%83%EB%B2%95%EC%A0%84%EB%AF%B8%ED%8C%85%EC%96%B4%ED%94%8C%E2%97%86%EB%B2%95%EC%A0%84%EB%B2%88%EA%B0%9C%ED%8C%85%E2%92%AA%E3%81%B4%E9%B9%80lewdness/feed/content/colombia/privacy
Unbiased algorithms can still be problematic
“Usually, the thing you’re trying to predict in a lot of these cases is something like rearrest,” Lum said. “So even if we are perfectly able to predict that, we’re still left with the problem that the human or systemic or institutional biases are generating biased arrests. And so, you still have to contextualize even your 100 percent accuracy with is the data really measuring what you think it’s measuring? Is the data itself generated by a fair process?”
HRDAG Director of Research Patrick Ball, in agreement with Lum, argued that it’s perhaps more practical to move it away from bias at the individual level and instead call it bias at the institutional or structural level. If a police department, for example, is convinced it needs to police one neighborhood more than another, it’s not as relevant if that officer is a racist individual, he said.
Letter from the Executive Director
In Pursuit of Excellent Data Processing
Welcoming Our 2019 Data Science Fellow
Skoll World Forum 2018
Disrupt San Francisco TechCrunch 2018
Reflections: It Began In Bogotá
State Violence in Guatemala, 1960-1996: A Quantitative Reflection
Patrick Ball, Paul Kobrak, Herbert F. Spirer. State Violence in Guatemala, 1960-1996: A Quantitative Reflection. © 1999 American Association for the Advancement of Science. [pdf – english] [pdf – español]
New UN report counts 191,369 Syrian-war deaths — but the truth is probably much, much worse
Amanda Taub of Vox has interviewed HRDAG executive director about the UN Office of the High Commissioner of Human Right’s release of HRDAG’s third report on reported killings in the Syrian conflict.
From the article:
Patrick Ball, Executive Director of the Human Rights Data Analysis Group and one of the report’s authors, explained to me that this new report is not a statistical estimate of the number of people killed in the conflict so far. Rather, it’s an actual list of specific victims who have been identified by name, date, and location of death. (The report only tracked violent killings, not “excess mortality” deaths from from disease or hunger that the conflict is causing indirectly.)
Reflections: The G in HRDAG is the Real Fuel
Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).
Daniel R. Guzmán, Tamy Guberek, Gary M. Shapiro, Paul Zador (2009). “Studying Millions of Rescued Documents: Sampling Plan at the Guatemalan National Police Archive (GNPA).” In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.
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.”
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.