Explainability and Guidelines for Responsible AI

“Understanding the technology sufficiently to know where our responsibility as individuals lies, is essential.”

Burkhard Schafer

The potential for explainable AI (XAI) techniques to improve trustworthy and responsible AI has become common conversation, providing a useful and meaningful technical compliment to ethical guidelines. But, where, when and how can XAI be an effective tool for AI governance? In this session, the panellists explored what is meant by explainability in AI and how we can make it a useful guideline for developers and policymakers. Watch the video here.