Crash Course: Artificial Intelligence | Algorithmic Bias and Fairness #18 | PBS
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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.
Tags
Bias
Fairness
Ethics
Data
Equality
Discrimination
Transparency
Accountability
Diversity
Impact
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