Description:

Artificial intelligence (AI) models and methods have been in the field for years now, but as they become more and more popular, it is increasingly important to consider diversity inclusion, social science, and ethical practices in the training and applications of AI in geoscience. This session invites presentations that call to attention the importance of these topics when developing, testing, and using AI methods. This includes biases in training data and labels used when developing models, the communities impacted by these models or decisions made from these models, communities under-represented when collecting data to train these models, and the social aspect of acceptance of these models in operations. This session is intended to provoke thoughts on the direct impact of AI in geoscience and there will be a complimentary panel discussion following the presentations in this session.