https://www.mckinsey.com/featured-insights/artificial-intelligence/tackling-bias-in-artificial-intelligence-and-in-humans#

The growing use of artificial intelligence in sensitive areas, including for hiring, criminal justice, and healthcare, has stirred a debate about bias and fairness. Yet human decision making in these and other domains can also be flawed, shaped by individual and societal biases that are often unconscious. Will AI’s decisions be less biased than human ones? Or will AI make these problems worse?

University of Michigan - Ann Arbor

Men also like shopping : reducing gender bias amplification using corpus level constraints : [arxiv.org/abs/1707.09457](https://arxiv.org/abs/1707.09457) 

Interesting paper on reducing biases

Report by Mckinsey on Tackling bias in AI

https://appen.com/blog/how-to-reduce-bias-in-ai/

Algorithmic bias prevention using training data

https://hbr.org/2020/11/a-simple-tactic-that-could-help-reduce-bias-in-ai
blind taste tests can diminish bias in humans by removing key identifying information from the evaluation process. But a similar approach can work with machines.

Learn Before

Related