Moving AI governance forward

Illustration: Justin Jay Wang × DALL·E

OpenAI and other leading AI labs are making a set of voluntary commitments to reinforce the safety, security and trustworthiness of AI technology and our services. This process, coordinated by the White House, is an important step in advancing meaningful and effective AI governance, both in the US and around the world.

As part of our mission to build safe and beneficial AGI, we will continue to pilot and refine⁠ concrete governance practices specifically tailored to highly capable foundation models like the ones that we produce. We will also continue to invest in research in areas that can help inform regulation, such as techniques for assessing potentially dangerous capabilities in AI models.

“Policymakers around the world are considering new laws for highly capable AI systems. Today’s commitments contribute specific and concrete practices to that ongoing discussion. This announcement is part of our ongoing collaboration with governments, civil society organizations and others around the world to advance AI governance,” said Anna Makanju, VP of Global Affairs.

Voluntary AI commitments

_The following is a list of commitments that companies are making to promote the safe, secure, and transparent development and use of AI technology. These voluntary commitments are consistent with existing laws and regulations, and designed to advance a generative AI legal and policy regime. Companies intend these voluntary commitments to remain in effect until regulations covering substantially the same issues come into force. Individual companies may make additional commitments beyond those included here._

Scope: Where commitments mention particular models, they apply only to generative models that are overall more powerful than the current industry frontier (e.g. models that are overall more powerful than any currently released models, including GPT‑4, Claude 2, PaLM 2, Titan and, in the case of image generation, DALL-E 2).

Scope: Where commitments mention particular models, they apply only to generative models that are overall more powerful than the current industry frontier (e.g. models that are overall more powerful than any currently released models, including GPT‑4, Claude 2, PaLM 2, Titan and, in the case of image generation, DALL-E 2).