Based on our internal evaluation, users were 12x more likely to say that DALL·E images included people of diverse backgrounds after the technique was applied. We plan to improve this technique over time as we gather more data and feedback.

In April, we started previewing the DALL·E 2 research to a limited number of people, which has allowed us to better understand the system’s capabilities and limitations and improve our safety systems.

During this preview phase, early users have flagged sensitive and biased images which have helped inform and evaluate this new mitigation.

We are continuing to research how AI systems, like DALL·E, might reflect biases in its training data and different ways we can address them.