
Algorithmic Bias and Fairness #18
Welcome to Crash Course Artificial Intelligence! In this series host Jabril Ashe will teach you the logic behind AI by tracing its history and examining how it’s being used today. We’ll even show you how to create some of your own AI systems with the help of co-host John Green Bot! AI is everywhere right now and has the potential to do amazing things in our lives.
Algorithmic Bias and Fairness #18
Season 1 Episode 18 | 10m 56s | CC
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.
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