American Academy of Actuaries primer on Discrimination: Considerations for Machine Learning, AI Models, and Underlying Data. This issue brief explores the topic of discrimination in   machine learning algorithms and artificial intelligence (AI) algorithms, and the underlying data of these models. It will define discrimination (including distinguishing between discrimination, unfair discrimination, and unjust discrimination); present practical methods for testing and monitoring algorithms; provide a regulatory overview of the issue; and identify considerations for actuaries, algorithm creators, and regulators.