Algorithmic Bias and Fairness: Crash Course AI #18

In this episode of Crash Course Artificial Intelligence, we’ll learn about five common types of algorithmic bias: data that reflects existing biases, unbalanced classes in training data, data that doesn’t capture the right value, data that is amplified by feedback loops, and malicious data.

Crash Course is produced in association with PBS Digital Studios.