Cyber & IT Supervisory Forum - Additional Resources

Transparency & Documentation How has the entity documented the AI system’s data provenance, including sources, origins, transformations, augmentations, labels, dependencies, constraints, and metadata? Does this dataset collection/processing procedure achieve the motivation for creating the dataset stated in the first section of this datasheet? How does the entity ensure that the data collected are adequate, relevant, and not excessive in relation to the intended purpose? If the dataset becomes obsolete how will this be communicated? Organizations can document the following: Artificial Intelligence Ethics Framework For The Intelligence Community. WEF - Companion to the Model AI Governance Framework – Implementation and Self-Assessment Guide for Organizations. Datasheets for Datasets. Larysa Visengeriyeva et al. “Awesome MLOps,“ GitHub. Accessed January 9, 2023. References AI Transparency Resources

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