A Conceptual Framework for Trustworthy AI Decisions Across the Materials Design Lifecycle

iamrp.net-wnDj-1788861347-p426656712 1788861347 Institute for Advanced Materials Research Press info@iamrp.net Institute for Advanced Materials Research Press Journal of Artificial Intelligence for Materials Science J. Artif. Intell. Mater. Sci. 3149-8957 2024 3 1 A Conceptual Framework for Trustworthy AI Decisions Across the Materials Design Lifecycle Wei Chen Li Zhang 2024 10.68159/p426656712 https://iamrp.net/pub/journal/1/article/p426656712 Feng J, Lansford JL, Katsoulakis MA, Vlachos DG. Explainable and trustworthy artificial intelligence for correctable modeling in chemical sciences. Sci Adv. 2020;6(47):eabc3204. Ravi N, Chaturvedi P, Huerta EA, Liu Z, Chard R, et al. Fair principles for ai models with a practical application for accelerated high energy diffraction microscopy. Sci Data. 2022;9(1):571. Simion M, Kelp C. Trustworthy artificial intelligence. Asian J Philos. 2023;2(1):1-12. Olfatbakhsh T, Milani AS. 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