Test devised to detect gender, racial bias in AI decisions
A team of researchers led by Google scientist Moritz Hardt has developed a methodology to detect whether any gender or racial bias is introduced by Artificial Intelligence algorithms into the decision-making process. The approach works on the concept that nothing more about an individual's race or gender is revealed by the decision, than what can be extracted using input data.