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.
from Pocket https://techcrunch.com/2019/01/29/ibm-builds-a-more-diverse-million-face-dataset-to-help-reduce-bias-in-ai/
via TV Aerials Leeds
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