Neural Network

Reports



Technical Paper on AI and Multimedia Authenticity Standards

This technical paper provides a comprehensive overview of the current landscape of standards and specifications related to digital media authenticity and artificial intelligence. It categorizes these standards into five key clusters: content provenance, trust and authenticity, asset identifiers, rights declarations, and watermarking. The report provides a short description of each standard along with link for further details.

By mapping the contributions of various Standard Development Organizations (SDOs) and groups, we aim to identify gaps and opportunities for further standardization. This could serve as a valuable resource for stakeholders seeking to navigate the complex ecosystem of standards at the intersection of artificial intelligence and authenticity in digital media and to implement best practices to safeguard the authenticity of digital assets and the rights assigned to them. The findings underscore the critical role of robust specifications and standards in fostering trust and accountability in the evolving digital landscape.

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Policy Paper: Building trust in Multimedia Authenticity through International Standards

This paper is primarily aimed at policymakers and regulators. It seeks to demystify the complexities of regulating the creation, use, and dissemination of synthetic multimedia content through prevention, detection, and response, and to present these issues in a clear and accessible manner for audiences with varying levels of expertise and technical understanding.

In addition, the paper aims to highlight global initiatives and underscore the vital role and benefits of international standards in promoting regulatory coherence, alignment, and effective enforcement across jurisdictions.

The document offers practical guidance and actionable recommendations, including a regulatory options matrix designed to help policymakers and regulators determine what to regulate (scope), how to regulate (voluntary or mandatory mechanisms), and to what extent (level of effort). It also explores a range of supporting tools – such as standards, conformity assessment mechanisms, and enabling technologies – that can contribute to addressing the challenges of misinformation and disinformation arising from the misuse of multimedia content. At the same time, it emphasizes the importance of striking a balance that enables the positive and legitimate use of either fully or partially synthetic multimedia for societal, governmental, and commercial benefit.

Finally, the paper includes a set of practical checklists for use by policymakers, regulators, and technology providers. These can be used when designing regulations or enforcement frameworks, developing technological solutions, or preparing crisis response strategies. The checklists are intended to help align stakeholder expectations, identify critical gaps, support responsible innovation, and enable conformity with emerging standards and best practices.

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