AI & ML
Improving verifiability in AI development
OpenAI Blog0 views
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 privacy-preserving. Users, policymakers, and civil society can use these tools to evaluate AI development processes.
Source:https://openai.com/index/improving-verifiabilityRelated posts
OPPO x Discovery FMA Program Announces Winner With ‘Together Makes It Diwali’ Film
0FOSS Bytes
Vu Masterpiece AEye RGB MiniLED TVs With AI Brightness Control Launched in India
0FOSS Bytes

Rankings are a corpus, not a leaderboard: treating S–F bands as a data model
0dev.to Data
Managed Cybersecurity Service Provider for Regulated Industries: Staying Secure and Audit-Ready
0dev.to News

Improving Expands Its AI Leadership with a New Central Team Across Innovation and Acceleration
0dev.to News
What's the Worst Thing an Automation of Yours Did Without Telling You? Mine Sent 12 Fake Hot Leads
0dev.to Discuss