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Explaining medical AI performance disparities across sites with confounder Shapley value analysis., , and . CoRR, (2021)SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis., , , , and . CoRR, (2023)Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions., and . CoRR, (2018)Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content., and . CoRR, (2024)An online platform for interactive feedback in biomedical machine learning., , , , , and . Nat. Mach. Intell., 2 (2): 86-88 (2020)Feedback GAN for DNA optimizes protein functions., and . Nat. Mach. Intell., 1 (2): 105-111 (2019)Advances, challenges and opportunities in creating data for trustworthy AI., , , , , , and . Nat. Mach. Intell., 4 (8): 669-677 (2022)Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions., , , , , , and . CoRR, (2023)How well do LLMs cite relevant medical references? An evaluation framework and analyses., , , , , , , , , and . CoRR, (2024)Why adaptively collected data have negative bias and how to correct for it., , , and . CoRR, (2017)