arckit-us-ai-impact

Assess AI compliance under OMB M-24-10 and M-25-21 by evaluating AI use cases to determine rights-impacting and safety-impacting status. This process generates required minimum risk-management practice checklists, acquisition controls, and public disclosure documentation for federal civilian agencies.

An AI system is rights-impacting or safety-impacting under federal OMB policy when its use case matches specific definitions outlined in OMB M-24-10. Evaluating these impacts requires mapping project architecture principles against federal policy criteria to determine necessary CAIO sign-offs.

Generate risk-management practice documentation for federal AI projects by integrating project-specific architecture principles and stakeholder artifacts. This produces compliant assessment documentation validating the project against federal OMB mandates, including necessary acquisition controls and public disclosure requirements.

Yes, you can validate a new AI project against federal policy by invoking the skill with the project name. It evaluates the system to identify necessary CAIO sign-offs and generates compliant impact assessment documentation required for federal civilian agencies.

Yes, this compliance assessment tool requires integration with project-specific architecture principles, requirements, and stakeholder artifacts. This integration is necessary to accurately evaluate AI systems and produce compliant assessment documentation for federal civilian agencies.

The limitation of automating AI impact assessments is that it focuses exclusively on US federal OMB M-24-10 and M-25-21 policy frameworks. It does not address non-federal compliance frameworks and requires manual integration of project-specific architecture artifacts to produce accurate assessment documentation.