Crash Course: Artificial Intelligence | Algorithmic Bias and Fairness #18 | PBS

Jai Ho

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By Owner - Crash Course Artificial Intelligence - Powered By PBSFrom Pbs OrgSeptember 8, 2025

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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.

#Bias

#Fairness

#Ethics

#Data

#Equality

#Discrimination

#Transparency

#Accountability

#Diversity

#Impact

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.

#Bias

#Fairness

#Ethics

#Data

#Equality

#Discrimination

#Transparency

#Accountability

#Diversity

#Impact

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