708 results for search: %EB%A7%88%EC%BC%80%ED%8C%85%EC%A0%84%EB%AC%B8%E2%99%82%ED%85%94%EA%B7%B8adgogo%E2%99%82%EB%8B%A8%EA%B5%AC%EB%8F%99%ED%98%B8%EC%8A%A4%ED%8A%B8%EB%B0%94%E3%83%AD%EB%A7%88%EC%BC%80%ED%8C%85%E2%94%9E%EC%A0%84%EB%AC%B8%18%EB%8B%A8%EA%B5%AC%EB%8F%99%E5%B0%A3%ED%98%B8%EC%8A%A4%ED%8A%B8%EB%B0%94%E5%B0%A3interjectional/feed/rss2/chad-photo-essay
A Human Rights Statistician Finds Truth In Numbers
The tension started in the witness room. “You could feel the stress rolling off the walls in there,” Patrick Ball remembers. “I can remember realizing that this is why lawyers wear sport coats – you can’t see all the sweat on their arms and back.” He was, you could say, a little nervous to be cross-examined by Slobodan Milosevic.
The Forensic Humanitarian
International human rights work attracts activists and lawyers, diplomats and retired politicians. One of the most admired figures in the field, however, is a ponytailed statistics guru from Silicon Valley named Patrick Ball, who has spent nearly two decades fashioning a career for himself at the intersection of mathematics and murder. You could call him a forensic humanitarian.
Guatemala: The Secret Files
Guatemala is still plagued by urban crime, but it is peaceful now compared to the decades of bloody civil war that convulsed the small Central American country. As he arrives in the capital, Guatemala City, FRONTLINE/World reporter Clark Boyd recalls, “When the fighting ended in the 1990s, many here wanted to move on, burying the secrets of the war along with hundreds of thousands of the dead and disappeared. But then, in July 2005, the past thundered back.”
Weapons of Math Destruction
Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives. Excerpt:
As Patrick once explained to me, you can train an algorithm to predict someone’s height from their weight, but if your whole training set comes from a grade three class, and anyone who’s self-conscious about their weight is allowed to skip the exercise, your model will predict that most people are about four feet tall. The problem isn’t the algorithm, it’s the training data and the lack of correction when the model produces erroneous conclusions.