Measuring algorithmic bias in face analysis — towards an experimental approach

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Author/s

Pietro Perona

About the resource/s

This resource corresponds to 3rd video from the AI Excellence Lecture Series.

Explore the complexities of bias in artificial intelligence as experts present innovative experimental approaches to assess and mitigate bias in face recognition and analysis algorithms. Gain valuable insights into the challenges faced in developing fair and unbiased AI systems, and discover how researchers are pioneering methodologies to ensure equitable outcomes in fields such as law enforcement, healthcare, and beyond.

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