edu.ucar.opensky::articles:27274 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:47:50.684580 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7df6wf6 https://doi.org/10.48550/arXiv.2201.11260 https Related Preprint #1 To what extent should we trust AI models when they extrapolate? Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences 2024-06-01T00:00:00Z publication https://n2t.org/ark:/85065/d7df6wf6 https://doi.org/10.1111/risa.14245 Bostrom, A. author Demuth, Julie L. author Wirz, Christopher D. author Cains, Mariana author Schumacher, Andrea author Madlambayan, D. author Bansal, A. S. author Bearth, A. author Chase, R. author Crosman, K. M. author Ebert-Uphoff, I. author Gagne, David John author Guikema, S. author Hoffman, R. author Johnson, B. B. author Kumler-Bonfanti, C. author Lee, J. D. author Lowe, A. author McGovern, A. author Przybylo, V. author Radford, J. T. author Roth, E. author Sutter, C. author Tissot, P. author Roebber, P. author Stewart, J. Q. author White, M. author Williams, J. K. author UCAR/NCAR - Library publisher Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for trustworthy AI. In response, we adopt a convergent approach to review, evaluate, and synthesize research on the trust and trustworthiness of AI in the environmental sciences and propose a research agenda. Evidential and conceptual histories of research on trust and trustworthiness reveal persisting ambiguities and measurement shortcomings related to inconsistent attention to the contextual and social dependencies and dynamics of trust. Potentially underappreciated in the development of trustworthy AI for environmental sciences is the importance of engaging AI users and other stakeholders, which human-AI teaming perspectives on AI development similarly underscore. Co-development strategies may also help reconcile efforts to develop performance-based trustworthiness standards with dynamic and contextual notions of trust. We illustrate the importance of these themes with applied examples and show how insights from research on trust and the communication of risk and uncertainty can help advance the understanding of trust and trustworthiness of AI in the environmental sciences. 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