Ann Bostrom, Julie L Demuth, Christopher D Wirz, Mariana G Cains, Andrea Schumacher, Deianna Madlambayan, Akansha Singh Bansal, Angela Bearth, Randy Chase, Katherine M Crosman, Imme Ebert-Uphoff, David John Gagne, Seth Guikema, Robert Hoffman, Branden B Johnson, Christina Kumler-Bonfanti, John D Lee, Anna Lowe, Amy McGovern, Vanessa Przybylo, Jacob T Radford, Emilie Roth, Carly Sutter, Philippe Tissot, Paul Roebber, Jebb Q Stewart, Miranda White, John K Williams
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...
November 8, 2023: Risk Analysis: An Official Publication of the Society for Risk Analysis