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Friday, November 18, 2016

Videostream: 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning

 
 
 
The same day the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning is being held in New York, we get Automated Inference on Criminality using Face Images by Xiaolin Wu, Xi Zhang on arxiv. Some people are outraged and want the paper kicked out of arxiv others are listing the numerous flaws of the paper. I see it as a typical HORSE paper as defined by Bob Sturm. From the paper:
Subset Sn contains ID photos of 1126 non-criminals that are acquired from Internet using the web spider tool; they are from a wide gamut of professions and social status, including waiters, construction workers, taxi and truck drivers, real estate agents, doctors, lawyers and professors;
It's trying to classify something but it certainly has nothing to do with criminality.

As I said, the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning is being held in New York. You want to follow #FATML A livestream of the workshop is available at http://law.nyu.edu/livestreamb and a recording will be available after the event. The schedule of the workshop:


 
 
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