Module 1 - Lesson 6: Techniques for Bias Detection and Mitigation
Автор: AI SECURITY OXFORD
Загружено: 2024-02-16
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Module 1 - Lesson 6: Techniques for Bias Detection and Mitigation
• Fairness Metrics
• Data Preprocessing
• Algorithmic Adjustments
Techniques for Bias Detection and Mitigation:
Fairness Metrics: Implementing metrics to assess AI fairness, like demographic parity, equality of opportunity, and individual fairness.
Data Preprocessing: Techniques like re-sampling or re-weighing training data to reduce bias.
Algorithmic Adjustments: Modifying algorithms to make fairer decisions, such as adding fairness constraints during model training.
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