Explainability Won't Save AI

Explainability Won't Save AI


Publication Title
Brookings
Publication/Creation Date
May 19 2021
Media Type
Text
Persuasive Intent
Information
Description
"Explainable AI (XAI) is often offered as the answer to the black box problem and is broadly defined as “machine learning techniques that make it possible for human users to understand, appropriately trust, and effectively manage AI.” Around the world, explainability has been referenced as a guiding principle for AI development, including in Europe’s General Data Protection Regulation. Explainable AI has also been a major research focus of the Defence Advanced Research Projects Agency (DARPA) since 2016. However, after years of research and application, the XAI field has generally struggled to realize the goals of understandable, trustworthy, and controllable AI in practice."
HCI Platform
Other
Marketing Keywords
IBM, NAO Robot
Source
https://www.brookings.edu/techstream/explainability-wont-save-ai/