<ul><li>Machine learning models often referred to as 'black boxes' are difficult to interpret and apply.</li><li>A different approach called Human Knowledge Models (HKM) focuses on finding concise and interpretable rules.</li><li>HKM creates simple rules using basic Boolean operators and thresholds, making them easy to use in various domains.</li><li>While HKMs have limitations, they can play a critical role in applied fields like healthcare, providing practical and interpretable solutions.</li></ul>

Simplicity Over Black Boxes

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