Integrating people, teams, programs, approaches, and outputs across the Bridge2AI Consortium.

Programmatic integration requires the intentional development and nurturing of a strong Bridge to Artificial Intelligence (Bridge2AI) community. While individual Data Generating Projects (DGP) can operate independently to generate AI-ready datasets, they must work together to realize the Bridge2AI goals of establishing rules of practice to guide inclusive, trustworthy, and successful use of AI across biomedicine and behavioral research.
Through good governance, clear expectations, shared language and practices, transparency and accountability, and inclusive practices, Bridge2AI ensures that the different DGPs can amalgamate into a unified community of practice. Each Bridge2AI Core actively engages corresponding DGP modules to coalesce around standards and guidelines for their work, with the ultimate goal to iteratively develop, implement, assess, and disseminate them. Bridge2AI aims to create an evidence-based suite of standards, practices, and training to realize trustworthy biomedical AI together.
The six Cores of Bridge2AI are:
Skills and Workforce Development Core

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University of Colorado Anschutz Medical Campus

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Yale University

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University of California Los Angeles