Crash Course: Artificial Intelligence

Algorithmic Bias and Fairness #18

12/17/2019 | 10m 56s

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.

Aired: 12/17/19 | Rating: NR

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• Algorithmic Bias and Fairness #18

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