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Title: Investigating Girls’ Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop
Authors: Solyst, Jaemarie
Axon, Alexis
Stewart, Angela
Eslami, Motahhare
Ogan, Amy
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Solyst, J., Axon, A., Stewart, A., Eslami, M., & Ogan, A. (2022). Investigating girls’ perspectives and knowledge gaps on ethics and fairness in artificial intelligence in a lightweight workshop. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 807-814). International Society of the Learning Sciences.
Abstract: Artificial intelligence (AI) is everywhere, with many children having increased exposure to AI technologies in daily life. We aimed to understand middle school girls’ (a group often excluded group in tech) perceptions and knowledge gaps about AI. We created and explored the feasibility of a lightweight (less than 3 hours) educational workshop in which learners considered challenges in their lives and communities and critically considered how existing and future AI could have an impact. After the workshop, learners had nuanced perceptions of AI, understanding AI can both help and harm. We discuss design implications for creating educational experiences in AI and fairness that embolden learners.
Description: Long Paper
Appears in Collections:ISLS Annual Meeting 2022

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