Here's the summary: "This paper (27 page PDF) presents a framework for grappling with openness across the AI stack. The paper surveys existing approaches to defining openness in AI models and systems, and then proposes a descriptive framework to understand how each component of the foundation model stack contributes to openness." I appreciated the comprehensive approach to 'openness in AI' found in the document; unlike (say) OSI, it doesn't endorce one 'received view' of openness, but rather looks at the many different ways AI can be open or not open.
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