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S4E1: Being Human in the Age of AI: How to Responsibly Introduce AI into Healthcare

Theory and Practice

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The Importance of Fit to Purpose in AI Safety

The first line of defense in bias is having something that's fit to purpose. The machine learning systems are fundamentally based on imitation, which means that whatever patterns occur in the training data, they can recapitulate those patterns. One of the first things to look at is comparing the population that you're attending to use the system with and compare that to the populations that you're training the system on.

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