AI Openness: A Primer for Policymakers

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The policy paper, "AI Openness:  A Primer for Policymaker," explores the concept of openness in artificial intelligence (AI), including relevant terminology and how different degrees of openness can exist. It explains why the term "open source" – a term rooted in software – does not fully capture the complexities specific to AI.

Further, the 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.

from The Global Small Business Blog https://ift.tt/QHjJ6t2