Comment by Alan Davidson

We set out to answer an important question: If we want responsible innovation and trustworthy AI, how do we hold AI systems — and the entities and individuals that develop, deploy, and use them — accountable? How do we ensure that they are doing what they say? For example, if an AI system claims to keep data private, or operate securely, or avoid biased outcomes – how do we ensure those claims are true? Today, I'm proud to announce our contribution to this debate: NTIA's AI Accountability Policy Report identifies policies and investments that will help to create trust that AI systems work as claimed – and without causing harm. The Report calls for improved transparency into AI systems, independent evaluations, and consequences for imposing risks. One key recommendation: The government ought to require independent audits of the highest-risk AI systems – such as those that directly impact physical safety or health, for example.