Openness and Governance in AI

The field of AI is moving towards a more open and collaborative approach, with a focus on developing frameworks that link foundational AI with downstream value chains. This shift is driven by the rapid rise of openness in AI, which has the potential to support technological transfer and catch-up, even in the face of concentrated industry power. Noteworthy papers in this area include:

  • One paper introduces an open-source alternative to a major legal data provider, enabling free access to law and access to justice movements.
  • Another paper conceptualizes Large Language Models as a form of mixed public goods, analyzing their economic properties and proposing policy recommendations for balancing innovation incentives with equitable access.

Sources

Openness in AI and downstream governance: A global value chain approach

Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law

Beyond Private or Public: Large Language Models as Quasi-Public Goods in the AI Economy

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