Earned Trust through AI System Assurance
The National Telecommunications and Information Administration (NTIA) issued an AI Accountability Policy Request for Comment to gather public feedback on policies supporting AI audits, assessments, and certifications. The initiative aims to explore mechanisms that create earned trust in AI systems much like financial audits do for corporate financial statements. The request seeks input on necessary data access for audits, incentivizing credible assurance, and sector-specific approaches.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Stakeholders, researchers, and organizations wishing to provide feedback on U.S. AI accountability policies.
What the document contains
The document covers a request for public comment regarding AI accountability policies, data access for audits, regulatory incentives for assurance, and differing industry sector approaches.
Specific regulatory mandates or binding rules for AI, as this is solely a request for comments.
- The NTIA seeks public input on policies supporting AI audits, assessments, and certifications.
- The initiative aims to create earned trust in AI systems comparable to financial audits.
- Input is requested on necessary data access, regulatory incentives, and sector-specific approaches.
- Written comments must be submitted by June 12, 2023.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
Just as financial accountability required policy and governance to develop, so too will AI system accountability.
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screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
N/A
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
N/A
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
N/A
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
N/A
screening score · 2026-10-23
Transparency
1/5Openness about how AI systems work and are used
Comments submitted in response to the RFC will be made publicly available via https://www.regulations.gov/
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screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
N/A
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
NTIA’s “AI Accountability Policy Request for Comment” seeks feedback on what policies can support the development of AI audits, assessments, certifications and other mechanisms
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screening score · 2026-10-23