How do we engage regulators and standards bodies proactively on AI governance?

Most organizations treat regulatory engagement as a reactive, compliance-driven activity: they read the final rule, assess whether they are in scope, and build controls to meet requirements. This approach is the most expensive way to achieve compliance because it provides the least lead time, no opportunity to influence requirements, and no advance signal about regulatory direction.

Proactive engagement — participating in comment processes, joining standards working groups, engaging with agency staff directly — produces information advantages that materially reduce the cost and uncertainty of compliance. Organizations that participate in rulemaking comment periods read the responses to all comments, not just their own, gaining insight into how the regulator thinks about contested issues. Organizations that sit on standards working groups see requirements forming years before they become mandatory.

There is also a direct risk management benefit to having a documented record of good-faith regulatory engagement. When a regulatory examination or enforcement inquiry occurs, an organization that can demonstrate consistent, substantive participation in shaping the rules it operates under starts from a different position than one that has never engaged.

Public comment on proposed AI regulations is the most accessible form of regulatory engagement and consistently underutilized by affected organizations. Regulators — particularly at the NIST, FTC, CFPB, and equivalent bodies in the EU and UK — read substantive comments from affected industries. A well-crafted comment from an organization that operates the type of system being regulated carries real weight, particularly when it provides specific operational data that regulators lack.

An effective comment is specific, not generic. It identifies the specific provisions of concern, explains the operational impact with concrete examples, and proposes alternative language or approaches where it objects to a proposed requirement. Generic statements of support or opposition without specifics are filed and forgotten. Comments that help a regulator understand how a requirement would actually work in practice — including unintended consequences — are influential.

Build a comment process that ensures relevant proposed rules are flagged internally within the first two weeks of publication (when comment periods typically open), reviewed by the appropriate business and legal stakeholders within the first month, and submitted before the deadline with time for internal review and approval. A well-run comment process takes less than two days of staff time for a typical rule; the intelligence gained from the final rule response is worth substantially more.

Participation in AI governance standards bodies — ISO TC 42 (AI), NIST AI Safety Institute Consortium, IEEE AI standards working groups, and national equivalents — is a longer-term investment that pays dividends on a multi-year horizon. Organizations that participate in standards development see requirements forming two to five years before they become mandatory, can shape the practical implementation guidance that accompanies formal requirements, and build relationships with the technical staff at regulatory bodies who later enforce the rules.

Full working group membership is appropriate for organizations with a significant compliance burden and dedicated policy or government affairs staff. For organizations with lighter resources, observer status — attending meetings without voting rights — provides most of the intelligence value at significantly lower cost. The minimum viable participation is submitting public comments during the public review stages of standards development, which is available to any organization at no cost.

Prioritize standards bodies based on where your most significant regulatory exposure is likely to come from. For organizations primarily subject to EU regulation, ISO TC 42 and CEN/CENELEC working groups are most relevant. For US-primarily regulated organizations, NIST AI Safety Institute Consortium and IEEE standards working groups are the priority. For global organizations with exposure in both, both warrant engagement at some level.