AI openness: A primer for policymakers

August 14, 2025

ai openness report cover


This paper explores the concept of openness in artificial intelligence (AI), including relevant terminology and the various levels of openness that exist. It explains why the term “open source” – a term rooted in software – does not fully capture the complexities specific to AI. This paper analyses current trends in open-weight foundation models using experimental data, illustrating both their potential benefits and associated risks. It incorporates the concept of marginality to further inform this discussion. By presenting information clearly and concisely, the paper seeks to support policy discussions on how to balance the openness of generative AI foundation models with responsible governance.

Access publication

Other relevant publications