The advent of ChatGPT and other generative artificial intelligence (AI) tools has raised concerns about how AI can be used to generate and spread disinformation at a much larger scale (Poynter, CSET, PBS). As a result, organizations have been working to develop tools that can identify text as written by artificial intelligence (Platformer, Tech Monitor, OpenAI, NPR).  

• Labels must be issued by the platform. User-generated labels (e.g., Twitter’s Community Notes) will not be sufficient on their own.
• Labels can be viewable on a feed or when a user interacts with a post (e.g., by sharing or forwarding it).
• A labeling policy which is only applied to select users or certain regions will still count. 
• Research into labeling AI-generated text will not be sufficient unless it is accompanied by an announced policy or platform update in which AI-generated text is labeled for users or a subset of users. 
• Labeling must apply to text written by generative AI. Labeling of images or videos generated by AI will not count towards resolution.

• Challenges with AI: Artistry, Copyrights, and Fake News (GovTech) 
• Generative AI: 5 essential reads about the new era of creativity, job anxiety, misinformation, bias and plagiarism (The Conversation)
• Should the United States or the European Union Follow China’s Lead and Require Watermarks for Generative AI? (Georgetown Journal of International Affairs)