OpenAI Blog · Apr 16, 2020
Improving verifiability in AI development
Reviewed by Errol Vogt, Site support technician & online learning analyst · original summary · editorial policy
Improving verifiability in AI development. We’ve contributed to a multi-stakeholder report by 58 co-authors at 30 organizations, including the Centre for the Future of Intelligence, Mila, Schwartz Reisman Institute for Technology and Society, Center for Advanced Study in the Behavioral Sciences, and Center for Security and Emerging Technologies. This report describes 10 mechanisms to improve the verifiability of claims made about AI systems. Developers can use these tools to provide evidence that AI systems are safe, secure, fair, or pr… This update is relevant for small-office operators tracking changes in their tools.
Operator takeaway: For operators: review whether 'Improving verifiability in AI development' affects your current setup before relying on it in production.
ai