SE4AI: Explainability and Interpretability (Part 2)
Channel: Christian Kästner
Date: 2020-07-22

More explainability techniques (anchors, counterfactuals, prototypes, influential instances) but also discussions on gaming models with explanations, interaction design and transparency, and policy discussions and possible coming AI regulation.

17th lecture of the Carnegie Mellon course "17-445/645 Software Engineering for AI-Enabled Systems", Summer 2020 

See https://ckaestne.github.io/seai/S2020/ for details and slides