Is artificial intelligence "fair"?
summary
The talk examines whether AI systems can be discriminatory with respect to age, gender, or nationality and how to detect bias in machine learning models. It covers methods for correcting biased model behavior to make AI fairer and discusses monitoring strategies and the necessity of ongoing bias monitoring.
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chapters (6)
- 0:00Introduction
- 1:10AI discrimination problem
- 7:18Monitoring fairness needs
- 13:09Fair AI definitions
- 23:11Improving model fairness
- 34:14Summary
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