Building explainability into the components of machine-learning models

Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.

algorithms artificial intelligence building components data explainability human-computer interaction learning machine machine learning mit schwarzman college of computing research school of engineering