Columbia University
Contributors: Augustin Chaintreau
Latest research
-
Towards a Framework for Openness in Foundation Models
May 21, 2024AI fairness, accountability, and transparencyThis 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.
-
Policy Readout - Columbia Convening on Openness and AI
March 27, 2024Tech policy & regulation / Openness and AIThis 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.
-
Technical Readout - Columbia Convening on Openness and AI
March 27, 2024Openness and AIKey technical takeaways from a convening focused on exploring what "openness" means in the AI era.