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January 29, 2019 05:50 pm GMT
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/I-Zq381hneQ/
IBM builds a more diverse million-face data set to help reduce bias in AI
Encoding biases into machine learning models, and in general into the constructs we refer to as AI, is nearly inescapable but we can sure do better than we have in past years. IBM is hoping that a new database of a million faces more reflective of those in the real world will help.Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/I-Zq381hneQ/
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