Avoiding bias in software design
summary
The talk examines how bias appears in software such as hiring algorithms, retail scheduling tools, and facial recognition systems, causing systematic errors that disadvantage certain groups. It explains how those biases develop and offers technical and human-centered methods to detect and control them, emphasizing hiring diverse development teams as a key defense.
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chapters (6)
- 0:00Introduction
- 6:06Cognitive bias
- 11:22Data and model bias
- 24:59Human role in bias
- 32:27Diverse team recruitment
- 39:46Conclusion & Q&A
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