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Columbia University

Contributors: Augustin Chaintreau

Latest research

  • Openness Framework Paper v6

    Towards a Framework for Openness in Foundation Models

    May 21, 2024
    AI fairness, accountability, and transparency

    This paper 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.

  • CC Header

    Policy Readout - Columbia Convening on Openness and AI

    March 27, 2024
    Tech policy & regulation / Openness and AI

    This policy brief distills the discussions at Columbia Convening in 2024 for policymakers - identifying benefits that openness can bring to the AI ecosystem, the risk/benefit tradeoffs in opening up different components of the AI stack, and recommendations for policymakers.

  • CCTM

    Technical Readout - Columbia Convening on Openness and AI

    March 27, 2024
    Openness and AI

    Key technical takeaways from a convening focused on exploring what "openness" means in the AI era.