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Work in progress: Experiential Learning Modules for Promoting AI Trustworthiness in STEM Disciplines
0
Zitationen
4
Autoren
2022
Jahr
Abstract
Artificial Intelligence (AI) has experienced a strong revival recently. From autonomous vehicles to smart factories, AI is increasingly being used in STEM fields beyond computer science (CS). While AI is regularly taught in CS curricula, treatment of AI varies in other STEM disciplines. This paper describes an on-going project aimed at elevating AI knowledge and skills of non-CS STEM students and professionals. It emphasizes trustworthiness as a key factor of effective AI usage for large scale data analysis. Specifically, ten initial modules, which take an experiential learning and problem-solving pedagogical approach, have been developed and are now being piloted in fall 2021. They have been designed to be used both in a traditional classroom setting and as self-guided learning aid. This paper reports on the findings to date and aims to disseminate this exciting venture broadly for like-minded researchers to consider.
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