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Crash Course: Artificial Intelligence
Algorithmic Bias and Fairness #18
Season 1
Episode 18
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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12:31
One of the most common ways we interact with computers is through language
11:41
We’re moving on from artificial intelligence that needs training labels.
16:56
John Green Bot wrote his first novel!
12:08
We’re going to talk about backpropagation.
11:29
We're combining the artificial neuron we created into an artificial neural network.
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We’re going to teach John Green Bot how to tell the difference between donuts and bagels.
11:25
What Is Artificial Intelligence?