Hi All,
NIST just published NIST Trustworthy and Responsible AI, NIST AI 100-4, Reducing Risks Posed by Synthetic Content: An Overview of Technical Approaches to Digital Content Transparency.
This report provides an overview of technical approaches for provenance data tracking and synthetic content detection with issues for consideration, along with a review of the current testing and evaluation for digital content transparency techniques. It should be noted that the efficacy of many of these technical approaches are not fully examined yet, and most of the approaches may be years away from widespread deployment on mobile devices.
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 but does not guarantee it, and in some cases may undermine it. While transparency can help identify when content is being misrepresented, it can also create a false sense of trust, such as when a piece of content appears legitimate based on technical measures but is then manipulated through non-technical means (e.g., taking a legitimate piece of content out of context). Ultimately, the impact of transparency depends on the effectiveness of the technical methods used and on how people access and interact with digital content. With respect to the latter, digital information literacy, as well as both formal and informal education, can impact how individuals perceive content.
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Michael Roza CPA, CISA, CIA, CC, CCSKv5, CCZTv1, MBA, EMBA, CSA
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