A Culture of Open and Reproducible Research, in the Era of Large AI Generative Models

We've seen incredible progress in the last year in large AI models, with increasing abilities to generate high-quality images, videos, text, sound, and more. The best of these models display signs of creativity, reasoning, generalization, and plasticity beyond what we could imagine just a few years ago. Yet many challenges and open questions remain, both on the technological aspects and the societal impact of these models. Further progress, especially on mitigating the social risks of these models, is hampered by a lack of transparency and reproducibility. I'll describe ongoing efforts to increase best practices toward the responsible training and deployment of AI research systems, drawing on our experience with the ML reproducibility program, and the recent release of several state-of-the-art large models.