When Open Source definition was created more than a quarter century ago nobody could anticipate an enormous, multi trillion dollar market formation effect it would have on the IT industry. AI is now entering an era when it isn’t just an application of computing but rather a radically different way of how computational systems can be engineered. If we want these novel computational systems to be built in the same collaborative setting we are used to, we need to be extra smart about what parts of our open source legacy we take into the future and what parts we need to reinvent. In short, we need a level-setting, cross-industry definition of an “Open Source AI”. This session will cover topics ranging from impact of Generative AI to the fact that the traditional view of open source code implementing AI algorithms may not be sufficient to guarantee inspectability, modifiability and replicability. We will touch upon ongoing government efforts creating policies regulating AI and more specifically OSS AI proliferation. While the panel will mostly focus on the results and lessons learned from the OSI’s Deep Dive in AI we will also cover similar efforts by the Apache and Linux Foundations.