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
HiringNow Will Apply to Jobs For You. Here's the Review System You Need Before You Let It.
0dev.to Career

Why Your Remote Job Search Is Failing (and What to Fix First)
0dev.to Career
Notion AI vs Coda vs Craft: Smart Note Apps Compared
0dev.to Programming
Taking the PC out of the audio path: a bit-perfect UPnP player in Go, and a week of fighting gmrender
0dev.to Go
Bland releases Tofu-1, a full-duplex speech-to-speech model for high-stakes calls
0dev.to AI
Build Your First AI Agent With No Code: A Simple 30-Minute Plan for Beginners
0dev.to AI