3 articles tagged with #ai-certification. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Researchers introduce the concept of 'Evaluability' to address the AI Evaluability Gap—the insufficient evidence organizations have to make confident governance decisions about AI risk and value. The framework proposes six properties of evaluable evidence and distinguishes between operational and investment certification to strengthen AI governance practices.
Researchers present a novel Safety-by-Design method to define Operational Design Domains (ODDs) for safety-critical AI systems using data-driven approaches rather than traditional expert-led design. The approach uses kernel-based representations to retroactively characterize environmental conditions from collected data and is validated through aviation collision-avoidance system testing, potentially enabling future certification of AI systems in critical domains.
Crypto.com has received ISO/IEC 42001 AI certification as it expands artificial intelligence services into one of its three core business lines. This move reflects the broader cryptocurrency industry's adoption of AI technology across operations and services.
