Toward a Framework for Openness in Foundation Models

The article proposes a nuanced framework for defining openness in foundation AI models, highlighting the need for shared terminology across stakeholders and emphasizing that openness involves varied degrees of access beyond just model weights. It also stresses the importance of considering safety and wider deployment contexts in regulatory discussions, particularly as the EU AI Act introduces new reporting requirements.

This Wire brief sits within Fusion42's coverage of AI & ML.