The TED AI Show: Why we can't fix bias with more AI w/ Patrick Lin
TED Tech
00:00
Understanding Bias in AI: Examples and Challenges
This chapter delves into the issue of bias in AI, showcasing examples such as racial bias in facial recognition and gender bias in recruiting tools. It explores how biases, even implicit ones, can lead to significant consequences in various AI applications. The conversation emphasizes the challenges of recognizing and mitigating biases in AI systems due to inherent biases in training data and the difficulty in completely eliminating bias from AI technology.
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