AI models are now being used to make life altering decisions in areas such as healthcare, hiring, lending, university admissions and criminal justice. The stakes of AI models to make decisions fairly could never be higher and yet there are many high profile examples where AI 
has been shown to produce unfair, inequitable and exclusive decisions.

In this episode of our podcast, data scientists at Xyonix talk about how to prevent societal biases from creeping into machine learning models, and why it's so important to be aware of these biases.

Read the article on our website:

• https://www.xyonix.com/blog/how-to-detect-and-mitigate-harmful-societal-bias-in-your-organizations-ai