RAISP02-BP05 Embed provenance indicators into core AI system outputs

Consider the necessity and utility of embedding machine-readable labels into AI-generated content such as images, audio, and video that clearly identifies the content as AI-generated.

Consider whether to create provenance chains that track the details such as name of the AI system provider, name of the AI system, time stamp of synthetic output generation, and unique identifiers  so that users can trace how content was created and modified. The level of detail provided should balance verification value against data costs, security impacts, and risks of disclosing proprietary system details.

If your system outputs machine readable labels , provide capabilities that let users check that content has originated from your system. For example, Amazon Bedrock provides customers with the capability to check if an image was generated by Amazon Nova Canvas or Amazon Titan Image Generator via a publicly available tool, Content Credentials Verify.