Skip to main content
Alpha
This lesson is in the alpha phase, which means that it has been taught once and lesson authors are iterating on feedback.
Light
Dark
Auto
Learner View
Instructor View
Menu
Trustworthy AI: Explainability, Bias, Fairness, and Safety
Trustworthy AI: Explainability, Bias, Fairness, and Safety
Key Points
Glossary
Learner Profiles
More
Reference
Search the All In One page
Trustworthy AI: Explainability, Bias, Fairness, and Safety
Toggle Theme
Light
Dark
Auto
Learner View
Instructor View
EPISODES
Summary and Setup
1. Overview
2. Preparing to train a model
3. Model evaluation and fairness
4. Model fairness: hands-on
5. Interpretablility versus explainability
6. Explainability methods overview
7. Explainability methods: Linear Probes
8. Explainability methods: GradCAM
9. Estimating model uncertainty
10. OOD detection: overview
11. OOD detection: softmax
12. OOD detection: energy
13. OOD detection: distance-based
14. Documenting and releasing a model
RESOURCES
Key Points
Glossary
Learner Profiles
Reference
See all in one page
Learner Profiles
This is a placeholder file. Please add content here.
Back
To Top