A five-step roadmap to closing the AI evaluation gap
The OECD has published a five-step framework aimed at improving how AI systems are evaluated, with the goal of strengthening trust, security, and governance around AI adoption. The roadmap addresses what the organization sees as a gap between how AI is deployed and how rigorously it is assessed.
Why this matters: Right now, AI systems get adopted faster than anyone figures out how to measure whether they actually work safely or fairly. That gap is where the real harm happens. A clearer evaluation standard matters most to the people on the receiving end of AI decisions — in hiring, benefits, policing, healthcare. The OECD carries real weight in shaping policy norms across governments. If this framework gets traction, it could set the bar for what 'good enough' AI governance actually looks like in practice.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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