Causal Impact Analysis
Paul discusses the importance of causal inference in addressing bias and fairness in AI decision-making, using Google's case of underpaying women to highlight the need for unbiased automated systems. The practical implications of causal analysis led Google to rectify salary discrepancies for high-level software engineers, showcasing the power of causal reasoning in promoting fairness.In this clip
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Practical AI
Causal inference
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