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Deterministic AI for Healthcare Safety
Learn how to design safer, more deterministic AI for complex industries like healthcare. Discover methods for evaluating AI safety, implementing feedback loops, and mitigating limitations for reliable results.
AI by itself is currently not good enough to be used without extensive supervision in the professional/production environment of a lot of industry, especially law enforcement or healthcare. Because of that, I would talk about how I design a more safe and deterministic AI system for industries that require a high level of complexity, accuracy, and certainty. I would walk through one of the project related to my award-wining research at AI in health conference of Ken Kennedy Institute of Rice University where I evaluate AI system for safety, before implementing solutions to mitigate those limitations. This include closely evaluating accuracy and saftey of AI outputs with feedback loop and “AI-as-a-judge”, LLM jailbreaking, and careful prompt engineering
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