Algorithmic Bias-How did a racist algorithm prevent black patients from getting kidney transplants?

The dangers of algorithmic bias

Algorithmic bias is when the result of an algorithm is not neutral, fair or equitable. (Wikipedia)

https://www.nejm.org/doi/full/10.1056/NEJMms2004740

Detecting algorithmic biases

For Yannic Kilcher, algorithmic biases are caused by unbalanced data sampling. In this case, to correct the bias(s), we just need to correct the sampling of the data.

Article written from these resources

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits-Fairness

PAIR AI Explorables | Is the problem in the data? Examples on Fairness, Diversity, and Bias — Yannic Kilcher

Diplodocus interested in the applications of artificial intelligence to healthcare. Twitter : @https://cutt.ly/9bVCBSa