View source for Platforms‘ policies on AI-manipulated and generated misinformation

{{Guideline
|Publishing Organisation=EU disinfo lab
|Language=English
|Year Published=2024
|Target Audience=Civil Society, Researchers
|Status=Published
|Covers Thematic=Legal/Standards, Verification
|Audience Experience Level=Advanced
|Source Website=https://www.disinfo.eu/wp-content/uploads/2023/09/20230928_platformpolicies-on-ai.pdf
|Synopsis=EXECUTIVE SUMMARY

* The development of artificial intelligence (AI) technologies has long been a challenge for the disinformation field, allowing content to be easily manipulated and contributing to accelerate its distribution. 

* Focusing on content, recent technical developments, and the growing use of generative AI systems by end-users have exponentially increased these challenges, making it easier not just to modify but also to create fake texts, images, and audio pieces that can look real. 

* Despite offering opportunities for legitimate purposes (e.g., art or satire), AI content is also widely generated and disseminated across the internet, causing – intentionally or not – harm and deception.
* In view of these rapid changes, it is crucial to understand how platforms face the challenge of moderating AI-manipulated and AI-generated content that may end up circulating as mis- or disinformation. 
* Are they able to distinguish legitimate uses from malign uses of such content? 
* Do they see the risks embedded in AI as an accessory to disinformation strategies or copyright infringements, or consider it a matter on its own that deserves spe- cific policies? 
* Do they even mention AI in their moderation policies, and have they updated these policies since the emergence of generative AI to address this evolution?

* The present factsheet delves into how some of the main platforms – Facebook, Instagram, TikTok, X (formerly Twitter), and YouTube – approach AI-manipulated or AI-generated content in their terms of use, exploring how they address its potential risk of becoming mis- and disinformation.

* The analysis concluded that definitions are divergent, leaving users and regulators with diverse mitigation and resolution measures.
|Is Archived=No
}}