From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases
Journal:
arXiv
Published Date:
Jul 17, 2024
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 expression? What
follows is the first known collection of diverse examples of the implementation
of synthetic media governance that responds to these questions, specifically
through Partnership on AI's (PAI) Responsible Practices for Synthetic Media - a
voluntary, normative Framework for creating, distributing, and building
technology for synthetic media responsibly, launched in February 2023. In this
paper, we present a case bank of real world examples that help operationalize
the Framework - highlighting areas synthetic media governance can be applied,
augmented, expanded, and refined for use, in practice. Read together, the cases
emphasize distinct elements of AI policymaking and seven emergent best
practices supporting transparency, safety, expression, and digital dignity
online: consent, disclosure, and differentiation between harmful and creative
use cases.