Democratic inputs to AI grant program: lessons learned and implementation plans | OpenAI

We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work. As AI gets more advanced and widely used, it is essential to involve the public in deciding how AI should behave⁠ in order to better align⁠ our models to the values of humanity. In May, we announced the Democratic Inputs to AI grant program⁠. We then awarded $100,000 to 10 teams out of nearly 1000 applicants to design, build, and test ideas that use democratic methods to decide the rules that govern AI systems. Throughout, the teams tackled challenges like recruiting diverse participants across the digital divide, producing a coherent output that represents diverse viewpoints, and designing processes with sufficient transparency to be trusted by the public. At OpenAI, we’ll build on this momentum by designing an end-to-end process for collecting inputs from external

We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work. As AI gets more advanced and widely used, it is essential to involve the public in deciding how AI should behave⁠ in order to better align⁠ our models to the values of humanity. In May, we announced the Democratic Inputs to AI grant program⁠. We then awarded $100,000 to 10 teams out of nearly 1000 applicants to design, build, and test ideas that use democratic methods to dec