edu.ucar.opensky::articles:26487 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T19:30:39.737561 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7183bjn https://doi.org/10.48550/arXiv.1902.01876 https Related Preprint #1 Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI https://doi.org/10.48550/arXiv.2205.03468 https Related Preprint #2 The AI Index 2022 Annual Report https://doi.org/10.5281/zenodo.6784569 https Related Software #1 ai2es/tai4es-trustathon-2022: Trustworthy Artificial Intelligence for Environmental Science (TAI4ES) Summer School 2022 Trustworthy Artificial Intelligence for environmental sciences: An innovative approach for summer school 2023-06-01T00:00:00Z publication https://n2t.org/ark:/85065/d7183bjn https://doi.org/10.1175/BAMS-D-22-0225.1 McGovern, A. author Gagne, David John author Wirz, Christopher D. author Ebert-Uphoff, I. author Bostrom, A. author Rao, Y. author Schumacher, A. author Flora, M. author Chase, R. author Mamalakis, A. author McGraw, M. author Lagerquist, R. author Redmon, R. J. author Peterson, Taysia author UCAR/NCAR - Library publisher Many of our generation's most pressing environmental science problems are wicked problems, which means they cannot be cleanly isolated and solved with a single "correct" answer. (AI2ES) seeks to address such problems by developing synergistic approaches with a team of scientists from three disciplines: environmental science (including atmospheric, ocean, and other physical sciences), artificial intelligence (AI), and social science including risk communication. As part of our work, we developed a novel approach to summer school, held from 27 to 30 June 2022. The goal of this summer school was to teach a new generation of environmental scientists how to cross disciplines and develop approaches that integrate all three disciplinary perspectives and approaches in order to solve environmental science problems. In addition to a lecture series that focused on the synthesis of AI, environmental science, and risk communication, this year's summer school included a unique "trust-a-thon" component where participants gained hands-on experience applying both risk communication and explainable AI techniques to pretrained machine learning models. We had 677 participants from 63 countries register and attend online. Lecture topics included trust and trustworthiness (day 1), explainability and interpretability (day 2), data and workflows (day 3), and uncertainty quantification (day 4). For the trust-a-thon, we developed challenge problems for three different application domains: 1) severe storms, 2) tropical cyclones, and 3) space weather. Each domain had associated user persona to guide user-centered development. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation