Why do AI Labels Matter?
Creators Embracing AI: The rise of advanced AI tools like Gemini, ChatGPT, DALL-E, and Midjourney has made synthetically altering video and audio easier than ever before. YouTube's new policy aims to keep viewers informed when AI has been used to depict fictional yet realistic scenarios.
"Generative AI is transforming the ways creators express themselves," YouTube stated, noting AI can assist with ideation, scripting, captioning and more. Many top creators have already experimented with AI tools for tasks like voiceovers, background edits and concept art. The new labelling policy embraces these capabilities while upholding transparency.
Increased Transparency: In its announcement, YouTube cited that viewers "increasingly want more transparency about whether the content they're seeing is altered or synthetic."
YouTube's AI labels are designed to "build trust between creators and their audience" and avoid misleading audiences about whether events or people are genuine. YouTube is also a founding member of the Coalition for Content Provenance and Authenticity (C2PA), which aims to increase transparency around digital objects.
While imperfect, the honor-system-based AI labels strive to keep viewers adequately informed about what they're watching on YouTube.