Cyber & IT Supervisory Forum - Additional Resources

Evaluate interdisciplinary and demographically diverse internal team established in Map 1.2. Evaluate effectiveness of external stakeholder feedback mechanisms, specifically related to processes for eliciting, evaluating and integrating input from diverse groups. Evaluate effectiveness of external stakeholder feedback mechanisms for enhancing AI actor visibility and decision-making regarding AI system risks and trustworthy characteristics. What are the roles, responsibilities, and delegation of authorities of personnel involved in the design, development, deployment, assessment and monitoring of the AI system? How easily accessible and current is the information available to external stakeholders? To what extent does the entity communicate its AI strategic goals and objectives to the community of stakeholders? To what extent can users or parties affected by the outputs of the AI system test the AI system and provide feedback? To what extent is this information sufficient and appropriate to promote transparency? Do external stakeholders have access to information on the design, operation, and limitations of the AI system? What type of information is accessible on the design, operations, and limitations of the AI system to external stakeholders, including end users, consumers, regulators, and individuals impacted by use of the AI system? Organizations can document the following: Transparency & Documentation GAO-21-519SP - Artificial Intelligence: An Accountability Framework for Federal Agencies & Other Entities. Artificial Intelligence Ethics Framework for the Intelligence Community. AI Transparency Resources

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