Meedan has joined Partnership on AI’s Responsible Practices for Synthetic Media: A Framework for Collective Action, expanding a groundbreaking community of expertise dedicated to promoting responsible practices in the development, creation, and sharing of media created with generative AI. The cohort of partners includes Code for Africa, the Stanford Institute for Human-Centered Artificial Intelligence, Thorn, and Truepic.
“As the AI community develops solutions for transparency and disclosure of AI-generated media, it is necessary to include civil society, academic, and startup perspectives on how to do this in a rights upholding fashion,” said Claire Leibowicz, Head of AI and Media Integrity at PAI. “We welcome these new Framework partners to our cross-sectoral community and look forward to including their valuable insights as the synthetic media landscape, including its impact on truth and trust, evolves.”
The addition of these new partners will provide new, diverse perspectives on synthetic media and the need for responsible practices to combat misinformation, reduce risks to vulnerable populations, particularly children, and advance solutions for transparency. The Framework provides guidance for those building, creating, and distributing synthetic media–recommendations that must be situated in the norms and understanding of society that civil society organizations understand most deeply.
“‘Is it real?’ is a frequent question asked of fact-checking organizations using Meedan’s software to run chatbots on messaging apps. The PAI Framework provides clear guidance on disclosure and transparency for the use of synthetic media that will help ensure responsible creators, publishers, and researchers don’t further contribute to the confusion of what is and isn’t real online,” commented Dr. Scott A. Hale, Director of Research at Meedan.
The first-of-its-kind Framework was launched in February 2023 by PAI and backed by an inaugural cohort of launch partners including Adobe, BBC, CBC/Radio-Canada, Bumble, OpenAI, TikTok, WITNESS, and synthetic media startups Synthesia, D-ID, and Respeecher. In addition, Google, Meta, and Microsoft have since joined as Framework supporters.
A PDF of the Framework can be found here.
- Online conversations are heavily influenced by news coverage, like the 2022 Supreme Court decision on abortion. The relationship is less clear between big breaking news and specific increases in online misinformation.
- The tweets analyzed were a random sample qualitatively coded as “misinformation” or “not misinformation” by two qualitative coders trained in public health and internet studies.
- This method used Twitter’s historical search API
- The peak was a significant outlier compared to days before it using Grubbs' test for outliers for Chemical Abortion (p<0.2 for the decision; p<0.003 for the leak) and Herbal Abortion (p<0.001 for the decision and leak).
- All our searches were case insensitive and could match substrings; so, “revers” matches “reverse”, “reversal”, etc.