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This document provides an overview of FAIR initiatives in Europe and the US, and the ideas presented in this document serve as a motivator to reach convergence on what FAIR means for AI research and innovation. It identifies a non-exhaustive list of FAIR initiatives, and suggests that researchers are developing methods, approaches, and tools from scratch to address specific needs in their communities of practice. It also highlights the importance of interdisciplinary efforts to create commodity, generic tools that address similar challenges across fields, and poses the question of what is the optimal composition of interdisciplinary teams that may work together to create sufficiently generic solutions.