From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases
Claire R. Leibowicz, Christian H. Cardona

TL;DR
This paper presents real-world examples of applying PAI's synthetic media governance framework across 11 diverse use cases, highlighting best practices for responsible AI development and deployment.
Contribution
It provides the first collection of practical case studies operationalizing PAI's synthetic media governance framework, informing policy and responsible AI practices.
Findings
Emphasizes importance of transparency and safety in synthetic media
Identifies key best practices: consent, disclosure, differentiation
Highlights challenges and opportunities in AI governance
Abstract
2023 was the year the world woke up to generative AI, and 2024 is the year policymakers are responding more firmly. Importantly, this policy momentum is taking place alongside real world creation and distribution of synthetic media. Social media platforms, news organizations, dating apps, image generation companies, and more are already navigating a world of AI-generated visuals and sounds, already changing hearts and minds, as policymakers try to catch up. How, then, can AI governance capture the complexity of the synthetic media landscape? How can it attend to synthetic media's myriad uses, ranging from storytelling to privacy preservation, to deception, fraud, and defamation, taking into account the many stakeholders involved in its development, creation, and distribution? And what might it mean to govern synthetic media in a manner that upholds the truth while bolstering freedom of…
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Taxonomy
TopicsImpact of AI and Big Data on Business and Society · Artificial Intelligence in Law
