Tutorials for Working with Interpretable and Explainable AI with 🔥LIT
- Mentors
- Ryan Mullins
- Organization
- Responsible AI and Human Centred Technology
- Technologies
- python, javascript, Technical writing
- Topics
- machine learning, ai, Fairness, Robustness, Interpretability
This project focuses on providing easy-to-understand walk-throughs of standard workflows for analyzing models using LIT and also providing in-depth how-tos for using and building on top of some of the LIT modules which are relevant for these workflows.
Providing this content in the form of tutorials and code contributions over the summer, I hope to increase the accessibility to the tool for different types of users.