Understanding the source of what we see and hear online

Update on August 4, 2024

Sharing a few updates on our ongoing content provenance work since we published this blog post in May:

Researching text solutions

Expanding our image detection tools as we build new features

• As part of our continued efforts on content provenance, we’ve been working to include C2PA⁠(opens in a new window) metadata – a widely used standard for digital content – as we update features in our products. As users can now edit DALL-E 3 generated images in ChatGPT, we wanted to ensure that provenance information continues to be demonstrated along with those edits. If a user edits an image, we’ve built in a means for our C2PA credential to show that the image was edited and how.

• In the example image, you can see the original AI-generated picture of a caterpillar, then edited to have the caterpillar wearing a Santa hat. When a user edits this image, the C2PA credentials update to reflect these changes, ensuring transparency. The C2PA credential includes details like the app and tool used (OpenAI’s DALL-E), the actions taken (like format conversion and edits), and other modifications. This way, the entire history of the image is tracked and displayed.

People around the world are embracing generative AI to create and edit images, videos, and audio in ways that turbocharge creativity, productivity, and learning. As generated audiovisual content becomes more common, we believe it will be increasingly important for society as a whole to embrace new technology and standards that help people understand the tools used to create the content they find online.

At OpenAI, we’re addressing this challenge in two ways: first, by joining with others to adopt, develop and promote an open standard that can help people verify the tools used for creating or editing many kinds of digital content, and second, by creating new technology that specifically helps people identify content created by our own tools.