Agents, Models, and Ethics: Importance of Interdisciplinary Explorations in AI Education

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.