In debates around the AI Act, a recurring confusion appears: the risk of an AI system is sometimes discussed as if it were mainly contained inside the model itself
Community Exchange Platform publicaciones etiquetadas con "AI Governance"

Small states do not need to copy the AI governance models of the United States, China, or the European Union. They need lighter, realistic, and enforceable systems that help them use AI safely and…
I often speak with architects, AI engineers, and technology leaders who have built enterprise AI solutions. One statement I hear repeatedly is:
"We have implemented…

Data from the Ramp and Revelio study on employment impacts of AI technology, over 21,000 US firms reveals that high-intensity AI adopters experienced a 10.2% increase in overall…
The global landscape for open-source software (OSS) and Artificial Intelligence (AI) has reached a critical inflection point. The traditional, permissive, and community-reliant…
I build governance tooling for AI agents in Europe, so I read most of the "practical AI Act governance" guides that circulate here. A pattern runs through almost all of them. The recommended…
The debate on artificial intelligence still often revolves around a simple question: which is the best model?
This question is understandable. Models remain important. Their…
One thing I've noticed in conversations with leadership teams and AI governance groups across organizations is that very few are familiar with the concept of a Frontier AI Framework.…
The AI Act asks providers of high-risk systems to keep records over the system's lifetime. Article 12 reads like a storage clause, and most teams treat it that way: capture enough, keep it long…

This IAPP report categorizes comprehensive AI governance providers, using a framework that provides context to the evolving AI governance vendor ecosystem: …