<ul data-eligibleForWebStory="false"><li>AI4ALL Day 3 focused on building medical AI tools, emphasizing the importance of a validation set to ensure models learn meaningful patterns.</li><li>Discussions included offline versus online data collection in healthcare AI and the risks of biases in advanced models inherited from flawed training data.</li><li>Dr. X highlighted how AI systems can reinforce harmful biases and warned against the danger of 'automation bias' in healthcare applications.</li><li>Reflections showed the shared challenge of building AI responsibly in healthcare and the need for thoughtful design and human oversight.</li></ul>

AI4ALL Day 3: The Promise and Pitfalls of AI in Medicine

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