Location
United States
See map: Google Maps
Date published:
November 23, 2016
"But not everyone believes gender bias should be eliminated from the data sets. Arvind Narayanan, an assistant professor of computer science at Princeton, has also analyzed word embedding and found gender, racial, and other prejudices. But Narayanan cautions against removing bias automatically, arguing that it could skew a computer’s representation of the real world and make it less adept at making predictions or analyzing data.
Read Full Story from Of Interest http://cyberlaw.stanford.edu/press/how-fix-silicon-valley%E2%80%99s-sexist-algorithms
This article by Center for Internet and Society originally appeared on cyberlaw.stanford.edu on November 23, 2016 at 11:00AM
