 The FAIR principles provide a framework for ensuring that data can be found, accessed, integrated, and reused by researchers. These principles have been adapted to address the challenges of AI models and datasets, such as the need for transparency and reproducibility. Researchers from various fields and geographies discussed the importance of incentivizing FAIR AI research and its potential impact on the field. This article was authored by EA Hueta, Ben Blasic, L. Catherine Brinson, and others.