721 results for search: %EC%95%84%EA%B8%B0%EB%A7%98%EB%AF%B8%ED%8C%85%E2%99%AA%EB%B3%B4%EA%B8%B0%ED%8F%B0%ED%8C%85%E2%80%A2O%E2%91%B9O-%E2%91%BCO%E2%91%B6-O%E2%91%BAO%E2%91%BA%E2%99%AA%20%EC%9D%B4%EB%B0%B1%EB%A7%98%EB%AF%B8%ED%8C%85%20%ED%8C%8C%EC%B6%9C%EB%B6%80%EB%AF%B8%ED%8C%85%E2%88%AE%EA%B3%A0%EC%84%B1%EB%85%80%EB%AF%B8%ED%8C%85%F0%9F%94%8B%EB%8F%99%EC%95%88%EB%AF%B8%EB%85%80%EB%AF%B8%ED%8C%85%20%E8%85%9E%E6%AD%B4completeness%EC%95%84%EA%B8%B0%EB%A7%98%EB%AF%B8%ED%8C%85/feed/content/colombia/copyright
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.
How data science is changing the face of human rights
On the heels of the Women in Data Science conference, HRDAG executive director Megan Price says, “I think creativity and communication are probably the two most important skills for a data scientist to have these days.”
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.
5 Questions for Kristian Lum
Kristian Lum discusses the challenges of getting accurate data from conflict zones, as well as her concerns about predictive policing if law enforcement gets it wrong.
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.
Improving the estimate of U.S. police killings
Cory Doctorow of Boing Boing writes about HRDAG executive director Patrick Ball and his contribution to Carl Bialik’s article about the recently released Bureau of Justice Statistics report on the number of annual police killings, both reported and unreported, in 538 Politics.
Inside the Difficult, Dangerous Work of Tallying the ISIS Death Toll
HRDAG executive director Megan Price is interviewed by Mother Jones. An excerpt: “Violence can be hidden,” says Price. “ISIS has its own agenda. Sometimes that agenda is served by making public things they’ve done, and I have to assume, sometimes it’s served by hiding things they’ve done.”
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.
Can ‘predictive policing’ prevent crime before it happens?
HRDAG analyst William Isaac is quoted in this article about so-called crime prediction. “They’re not predicting the future. What they’re actually predicting is where the next recorded police observations are going to occur.”