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Learn about evaluating and rating AI systems for trust through a causal perspective in this 38-minute research presentation from the AI Institute at UofSC. Explore how causal frameworks can be applied to assess the trustworthiness and reliability of artificial intelligence systems, with insights from expert Kausik Lakkaraju. Gain understanding of methodologies for measuring AI system performance, establishing trust metrics, and analyzing causal relationships that impact system behavior and outcomes. Discover approaches for developing more transparent and accountable AI through rigorous evaluation methods that consider causality.
