The Machine Learning and Society team at Hugging Face, now three years old, has been exploring the intersection of artificial intelligence and its societal impacts, continuing the spirit of the BigScience project. This initiative was a large-scale, interdisciplinary research collaboration focused on the development and governance of Large Language Models (LLMs) just before the technology became mainstream with applications like ChatGPT. The team prioritizes open science, transparency, and reusability in their research, aiming to balance technical insights with multidisciplinary perspectives. By leveraging Hugging Face's platform, they focus on research questions that have broad implications across AI practices, promoting sustainability, agency, ethics, inclusive governance, and regulation. Over the last three years, they have produced over 60 research artifacts addressing these themes, and they invite further collaboration to enhance understanding and application in various contexts.