Earned Trust throughAI System Assurance
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 to create earned trust in AI systems. Much as financial audits create trust in the accuracy of a business’ financial statements, so for AI, such mechanisms can help provide assurance that an AI system is trustworthy. Just as financial accountability required policy and governance to develop, so too will AI system accountability.
NTIA is seeking input on what policies should shape the AI accountability ecosystem, including topics such as:
What kind of data access is necessary to conduct audits and assessments
How can regulators and other actors incentivize and support credible assurance of AI systems along with other forms of accountability
What different approaches might be needed in different industry sectors—like employment or health care
Written comments in response to the RFC must be provided to NTIA by June 12, 2023, 60 days from the date of publication in the Federal Register. Comments submitted in response to the RFC will be made publicly available via https://www.regulations.gov/.
Comments should respond to questions posed in the RFC, and commenters are encouraged to correlate the content of their comments to the pillars and questions set forth in the RFC. Commenters need not respond to every question. Comments should be typed, double-spaced, and signed and dated by the filing party or a legal representative of that party.
Submit a Comment to the Request for Comment
Deadline: June 12, 2023
Official comments must be submitted via Regulations.gov which is available 24 hours following initial publication on NTIA.gov.
How to file a written comment
- Go to https://www.regulations.gov/
- Search for docket number 230407-0093.
- Click the “Comment Now!” icon
- Complete the required fields
- Enter or attach your comments