Responsible AI

Interested in Responsible AI? Here you can learn about proactively building systems that are reliable, accountable, fair, transparent, and explainable with Dataiku.

Tip

This content is also a part of the Responsible AI course series in the Dataiku Academy. Check that out if you want a more comprehensive, guided learning experience.

Concepts

• Concept | Responsible AI
• Concept | Dangers of irresponsible AI
• Concept | Responsible AI in the data science practice
• Concept | Basics of bias
• Concept | Model fairness
• Concept | Evaluating group fairness
• Concept | Interpretability
• Concept | Model transparency
• Concept | Deployment biases

Tutorials

• Tutorial | Responsible AI (RAI) introduction and prerequisites
• Tutorial | Identifying data biases
• Tutorial | Model fairness and interpretability
• Tutorial | Model explainability and reporting strategies