Why we can't fix bias with more AI w/ Patrick Lin
The TED AI Show
00:00
Exploring Bias in AI: A Deep Dive
This chapter delves into the various ways bias can manifest in artificial intelligence, touching on examples from facial recognition to AI hiring and criminal sentencing. It emphasizes the challenge of recognizing and mitigating implicit biases in AI systems and highlights the complexity of addressing bias due to ingrained human tendencies. The conversation stresses the importance of understanding bias profoundly and incorporating ethics and social sciences in AI research to effectively tackle the issue.
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