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Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences

CITE Title : Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences Personal Author(s) : Bostrom, Ann;Demuth, Julie L.;Wirz, Christopher D.;Cains, Mariana G.;Schumacher, Andrea;Madlambayan, Deianna;Bansal, Akansha Singh;Bearth, Angela;Chase, Randy;Crosman, Katherine M.;Ebert‐Uphoff, Imme;Gagne, David John;Guikema, Seth;Hoffman, Robert;Johnson, Branden B.;Kumler‐Bonfanti, Christina;Lee, John D.;Lowe, Anna;McGovern, Amy;Przybylo, Vanessa;Radford, Jacob T.;Roth, Emilie;Sutter, Carly;Tissot, Philippe;Roebber, Paul;Stewart, Jebb Q.;White, Miranda;Williams, John K.; Published Date : 2023 Source : Risk Analysis, 44(6), 1498-1513 DOI : https://doi.org/10.1111/risa.14245 Journal Title : Risk Analysis Bostrom, Ann et al. (2023). Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences. 44(6). https://doi.org/10.1111/risa.14245 Bostrom, Ann et al. "Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences" 44, no. 6 (2023), https://doi.org/10.1111/risa.14245 Bostrom, Ann et al. "Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences" vol. 44, no. 6, 2023, https://doi.org/10.1111/risa.14245 Export RIS Citation Information.

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Bostrom, Ann

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Demuth, Julie L.

2023 | Risk Analysis, 44(6), 1498-1513

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Demands to manage the risks of artificial intelligence (AI) are growing. These demands and the government standards arising from them both call for tr...
National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting

CITE Title : National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting Personal Author(s) : Wirz, Christopher D.;Demuth, Julie L.;Cains, Mariana G.;White, Miranda;Radford, Jacob;Bostrom, Ann; Published Date : 2024 Source : Bulletin of the American Meteorological Society, 105(11), E2194-E2215 DOI : https://doi.org/10.1175/bams-d-24-0044.1 Journal Title : Bulletin of the American Meteorological Society Wirz, Christopher D. et al. (2024). National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting. 105(11). https://doi.org/10.1175/bams-d-24-0044.1 Wirz, Christopher D. et al. "National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting" 105, no. 11 (2024), https://doi.org/10.1175/bams-d-24-0044.1 Wirz, Christopher D. et al. "National Weather Service (NWS) Forecasters’ Perceptions of AI/ML and Its Use in Operational Forecasting" vol. 105, no. 11, 2024, https://doi.org/10.1175/bams-d-24-0044.1 Export RIS Citation Information.

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Wirz, Christopher D.

;

Demuth, Julie L.

2024 | Bulletin of the American Meteorological Society, 105(11), E2194-E2215

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Artificial intelligence and machine learning (AI/ML) have attracted a great deal of attention from the atmospheric science community. The explosion of...