description About
Today, 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. Now bias itself isn't necessarily a terrible thing, our brains often use it to take shortcuts by finding patterns, but bias can become a problem if we don't acknowledge exceptions to patterns or if we allow it to discriminate.
Info
- verified Status: Returning Series
- person By: Unknown
- calendar_month Release Date: 2019-12-13
- video_camera_front Companies PBS Digital Studios, Complexly, Thought Café
- tag Season: Season 1
- timer Episode Runtime: 11 Mins
- star Rating: 0 / 10
- visibilityViews: 2 views
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