3.6 Transparency Obligations
Explains the procedure for reviewing transparency obligations imposed by regulation and applying risk mitigation measures to issues such as disclosure of training data.
Explains the procedure for reviewing transparency obligations imposed by regulation and applying risk mitigation measures to issues such as disclosure of training data.
The stage of building AI-specific license, transparency, and SBOM processes that extend beyond code to cover models, weights, and datasets.