Which practice enhances the likelihood of AI policy adoption by stakeholders?

• A. Comprehensive training for all involved parties
• B. Excluding non-technical stakeholders
• C. Restricting access to policy documents
• D. Delaying feedback until after deployment

Answer: (A)

Comprehensive training for all involved parties builds shared understanding, capability, and buy-in, which are essential for policy adoption. When everyone—from technical staff to business leaders—knows what the policy requires, why it matters, and how to apply it in practice, they feel empowered to comply and can effectively implement governance measures. Training also provides a channel for questions and feedback, helping address concerns early and align expectations across the organization.

Excluding non-technical stakeholders creates barriers to adoption by narrowing perspectives and signaling that some voices aren’t valued. Restricting access to policy documents undermines transparency and trust, making it harder for people to understand roles and responsibilities. Delaying feedback until after deployment prevents early detection of issues and reduces stakeholder confidence in the policy.