In this conversation, Jekaterina Novikova and Malikeh Ehgaghi interview Ana Marasović, an expert in AI trustworthiness, focusing on the complexities of explainability, the realities of academic research, and the dynamics of human-AI collaboration. We discuss the importance of intrinsic and extrinsic trust in AI systems, the challenges of evaluating AI performance, and the implications of synthetic evaluations.REFERENCES:On Evaluating Explanation Utility for Human-AI Decision Making in NLPEffective Human-AI Teams via Learned Natural Language Rules and OnboardingChain-of-Thought Unfaithfulness as Disguised AccuracyOn Measuring Faithfulness or Self-consistency of Natural Language ExplanationsWhat Has Been Lost with Synthetic Evaluation?🎧 Subscribe to stay updated on new episodes spotlighting brilliant women shaping the future of AI.WiAIR websiteFollow us at:LinkedInBlueskyX (Twitter)

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