Dear HART TG members,
You are encouraged to comment on the AI RMF by 9/29/2022 and conduct research to address these issues in the future.
Source website:
https://pages.nist.gov/AIRMF/
NIST's initial draft of this Playbook serves as a companion to the AI Risk Management Framework (AI RMF). We encourage feedback about the approach and content, especially:
- Its relative usefulness as a complementary resource to the AI RMF.
- Whether the guidance is actionable, especially as related to organization size.
- Suggested presentation alternatives for the forthcoming first version of the Playbook, to ensure effectiveness and ease of use.
Feedback may be provided to NIST as comments or as specific line-edit additions or modifications. NIST also welcomes references to existing or new resources to help users of the AI RMF.
All feedback should be sent via email to AIframework@nist.gov. Since the Playbook is intended to be a dynamic source of online information there will not be a "final version." Interested parties can submit contributions of guidance materials and feedback on a regular basis. Please share initial comments by September 29, 2022.
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Lixiao Huang, PhD
HART TG Chair
Associate Research Scientist
Arizona State University
lixiao.huang@asu.edu------------------------------