Who Decides When AI Is Trustworthy? The EU AI Act, Standards and the Limits of Assurance
A University College London analysis examines how the EU AI Act approaches the question of AI trustworthiness, focusing on the role of technical standards and the boundaries of what assurance mechanisms can actually guarantee.
Why this matters: Trustworthy AI is a phrase everyone uses and almost no one defines precisely. The EU AI Act delegates a lot of that definition to technical standards bodies most people have never heard of. That matters because whoever sets the standards sets the bar. If those bodies are opaque, industry-dominated, or slow, the law's promises about safe AI become much harder to enforce. People affected by high-risk AI systems deserve to know who decided the system was acceptable and what that decision was actually based on.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
This summary is AI-assisted and may contain errors. It is an original briefing to help you gauge significance quickly — not a reproduction of the source. Always read the linked original before relying on it. See our methodology.