Our approach to data and AI

AI should expand opportunities for everyone. By transforming information in new ways, AI systems help us solve problems and express ourselves. Today, our AI tools like ChatGPT are being used around the world to help farmers in Kenya and India increase crop yields (Digital Green⁠), researchers accelerate drug discovery (Moderna⁠), governments support their workforces (State of Pennsylvania⁠(opens in a new window)), educators advance⁠ student learning, and people with visual impairments navigate our world (Be My Eyes⁠). AI tools like DALL·E⁠ and Sora⁠ (currently in research preview) are empowering⁠ creatives from aspiring artists to filmmakers⁠.

Our mission is to benefit all of humanity. This encompasses not only our users, but also creators and publishers. While we believe legal precedents and sound public policy make learning fair use, we also feel that it’s important we contribute to the development of a broadly beneficial social contract for content in the AI age. 

We believe AI systems should benefit and respect the choices of creators and content owners. We’re continually improving our industry-leading systems to reflect content owner preferences, and are dedicated to building products and business models to fuel vibrant ecosystems for creators and publishers.

We are not professional writers, artists, or journalists, nor are we in those lines of business. We focus on building tools to help these professions create and achieve more. To accomplish this, we listen to and work closely with members of these communities, and look forward to our continued dialogues. Today, we’re sharing more about where we are and where we’re headed.

Decades ago, the robots.txt standard was introduced and voluntarily adopted by the Internet ecosystem for web publishers to indicate what portions of websites web crawlers could access. 

We’re continuously making our products more useful discovery engines. We recently

improved source links in ChatGPT⁠(opens in a new window) to give users better context and web publishers new ways to connect with our audiences. Financial Times⁠, to Le Monde⁠, Prisa Media⁠, Axel Springer⁠ and more, to display their content in ChatGPT and enrich the user experience on news topics. More innovation is on the way. This content may also be used to train ChatGPT to better surface relevant publisher content to users and to improve our tools for newsrooms. Khan Academy⁠ and UK-based ExamSolutions⁠(opens in a new window) to improve our model’s math performance, which accelerates their ability to expand access to personalized AI tutoring on their platform. 

We train our models using: