<ul data-eligibleForWebStory="false"><li>Participants delved into the technical aspects of building AI models with a focus on linear algebra and probability, essential for AI operations.</li><li>Practical application exercises using Google Colab and the MedMNIST dataset helped visualize how AI processes medical images.</li><li>A guest talk highlighted security risks within AI systems, demonstrating how simple manipulations like adding noise or using specific glasses can deceive models.</li><li>The session sparked discussions on building AI responsibly, with a focus on fairness, privacy, and the challenges associated with large AI model training.</li></ul>

AI4ALL Day 4: Math, Medicine, and Model Vulnerabilities

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