What Reducing Risks Posed by Synthetic Content An Overview of Technical Approaches to Digital Content Transparency requires
This report examines existing standards, tools, methods, and practices for authenticating digital content, tracking its provenance, labeling and detecting synthetic content, and preventing generative AI from producing harmful material like child sexual abuse material or non-consensual intimate imagery of real individuals. The approaches discussed aim to manage and reduce risks related to synthetic content by recording and revealing its provenance, providing tools to identify AI-generated content, and mitigating the production and dissemination of certain illicit materials. Digital content transparency provides a vehicle for individuals and organizations to access more information about the origins and history of content, which may contribute to trustworthiness. The document defines "synthetic content" as "information, such as images, videos, audio clips, and text, that has been significantly altered or generated by algorithms, including by AI." It provides an overview of technical approaches for provenance data tracking and synthetic content detection, along with a review of current testing and evaluation techniques. It acknowledges that the efficacy of many of these approaches is not fully examined and may be years from widespread deployment. The value of any given technique is use-case and context-specific, and none offer comprehensive solutions on their own; they are building blocks that can be used to improve trust between content producers, distributors, and the public.
Pillar: AI Governance & Law · Authority: National Institute of Standards and Technology · Version: 1.0.0 · Last updated:
Primary source: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-4.pdf
SHA-256 integrity: c70d2727d9e67d68677e573f6b50dde10aca3a8d4aefbaaf3296fdbdc64c1838
Primary Citations — 8 traced to source
- Section 1: In this document, following Executive Order 14110, "synthetic content" refers to "information, such as images, videos, audio clips, and text, that has been significantly altered or generated by algorithms, including by AI."
- Section 1: Digital content transparency refers to the process of documenting and accessing information about the origins and history of digital content.
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