A view from DC: What will all these AI auditors be auditing?
A policy discussion out of Washington is asking a foundational question about the growing AI audit industry: what standards, criteria, or frameworks will auditors actually use to evaluate AI systems? The field is expanding fast, but the underlying methodology remains unsettled.
Why this matters: Companies are hiring AI auditors. Governments are calling for them. The problem is that nobody has fully agreed on what an AI audit is supposed to check. Auditing a loan model is not the same as auditing a hiring tool or a content filter. If the profession grows faster than the standards, audits become a paper exercise. You get the appearance of accountability without the substance. That matters to anyone whose job, credit, or benefits gets decided by a system someone already stamped as reviewed.
Who should care: General readers · AI governance · Policy
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