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Title: Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education
Authors: Jiang, Shiyan
DesPortes, Kayla
Bergner, Yoav
Zhang, Helen
Lee, Irene
Moore, Katherine
Cheng, Yihong
Perret, Beatriz
Walsh, Benjamin
Guggenheim, Aaron
Dalton, Bridget
Forsyth, Stacey
Yeh, Tom
Akram, Bita
Yoder, Spencer
Finzer, William
Chao, Jie
Rosé, Carolyn P.
Payne, William
Castro-Norwood, Francisco
McDermott, Kathleen
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Jiang, S., DesPortes, K., Bergner, Y., Zhang, H., Lee, I., Moore, K., Cheng, Y., Perret, B., Walsh, B., Guggenheim, A., Dalton, B., Forsyth, S., Yeh, T., Akram, B., Yoder, S., Finzer, W., Chao, J., Rosé, C. P., Payne, W., Castro-Norwood, F., & McDermott, K. (2022). Agents, models, and ethics: Importance of interdisciplinary explorations in AI education. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1763-1770). International Society of the Learning Sciences.
Abstract: Artificial Intelligence (AI) is proliferating in both visible and invisible ways across our society. It is imperative for our new generation to gain a fundamental understanding of how intelligence is created, applied, and also its potential to perpetuate biases and unfairness. Because of the nature of AI, it is important that we take an interdisciplinary approach in order to ground the systems and models in real and meaningful contexts for learner exploration. This symposium explores these approaches with a multi-disciplinary group of researchers presenting empirical studies on designing and studying AI learning environments. These studies provide unique insights towards design recommendations, challenges, and opportunities in the rapidly emerging area of study in K-12 education.
Description: Symposium
Appears in Collections:ISLS Annual Meeting 2022

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