Algorithmic Bias and Fairness #18
12/17/2019 | 10m 56s | Video has closed captioning.
We're going to talk about five common types of algorithmic bias we should pay attention to: 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.
Problems Playing Video? | Closed Captioning