Interpretable Machine Learning (IML)

IML involves developing AI models that can transparently explain their decision-making process. This is crucial for educators to understand and justify the recommendations or assessments made by AI tools.

How to Explain This in Class

Interpretable Machine Learning is like a robot that can explain its thoughts and how it makes decisions, just like how we can explain why we chose an answer on a test.