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.

The world needs common ways of sharing information about how digital content was created. Standards can help clarify how content was made and provide other information about its origins in a way that’s easy to recognize across many situations — whether that content is the raw output from a camera, or an artistic creation from a tool like DALL·E 3.

Today, OpenAI is joining the Steering Committee of C2PA – the Coalition for Content Provenance and Authenticity. C2PA is a widely used standard for digital content certification, developed and adopted by a wide range of actors including software companies, camera manufacturers, and online platforms. C2PA can be used to prove the content comes a particular source.1 We look forward to contributing to the development of the standard, and we regard it as an important aspect of our approach.