Teaching Explainable Artificial Intelligence to High School Students

Teaching Explainable Artificial Intelligence to High School Students

Artificial Intelligence (AI) is part of our everyday life and has become one of the most outstanding and strategic technologies. Explainable AI (XAI) is expected to endow intelligent systems with fairness, accountability, transparency and explanation ability when interacting with humans. This paper...

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Bibliographic Details
Main Author: Jose M. Alonso
Format: Article
Language:English
Published: Atlantis Press 2020-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Explainable artificial intelligence
Interpretable computational intelligence
Decision trees
Fuzzy rule-based classifiers
Educational AI resources
Online Access:https://www.atlantis-press.com/article/125942036/view
Description
Summary:Artificial Intelligence (AI) is part of our everyday life and has become one of the most outstanding and strategic technologies. Explainable AI (XAI) is expected to endow intelligent systems with fairness, accountability, transparency and explanation ability when interacting with humans. This paper describes how to teach fundamentals of XAI to high school students who take part in interactive workshop activities at CiTIUS-USC. These workshop activities are carried out in the context of a strategic plan for promoting careers on Science, Technology, Engineering and Mathematics. Students learn (1) how to build datasets free of bias, (2) how to build interpretable classifiers and (3) how to build multi-modal explanations.
ISSN:1875-6883

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