Cyber & IT Supervisory Forum - Additional Resources

Organizations can document the following: Transparency & Documentation

What processes exist for data generation, acquisition/collection, ingestion, staging/storage, transformations, security, maintenance, and dissemination? To what extent do these policies foster public trust and confidence in the use of the AI system? If anyone believes that the AI no longer meets this ethical framework, who will be responsible for receiving the concern and as appropriate investigating and remediating the issue? Do they have authority to modify, limit, or stop the use of the AI? If it relates to people, were there any ethical review applications/reviews/approvals? (e.g., Institutional Review Board applications) GAO-21-519SP: AI Accountability Framework for Federal Agencies & Other Entities. Intel.gov: AI Ethics Framework for Intelligence Community - 2020. Datasheets for Datasets. References Michelle De Mooy, Joseph Jerome and Vijay Kasschau, “Should It Stay or Should It Go? The Legal, Policy and Technical Landscape Around Data Deletion,” Center for Democracy and Technology, 2017. Burcu Baykurt, "Algorithmic accountability in US cities: Transparency, impact, and political economy." Big Data & Society 9, no. 2 (2022): 20539517221115426. “Information System Decommissioning Guide,” Bureau of Land Management, 2011. AI Transparency Resources

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