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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Main Author: Jose M. Alonso
Format: Article
Language:English
Published: Springer 2020-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125942036/view
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author Jose M. Alonso
author_facet Jose M. Alonso
author_sort Jose M. Alonso
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description 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.
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spelling doaj.art-79103660aa4349b58de413954da4caf12022-12-22T00:49:55ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832020-07-0113110.2991/ijcis.d.200715.003Teaching Explainable Artificial Intelligence to High School StudentsJose M. AlonsoArtificial 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.https://www.atlantis-press.com/article/125942036/viewExplainable artificial intelligenceInterpretable computational intelligenceDecision treesFuzzy rule-based classifiersEducational AI resources
spellingShingle Jose M. Alonso
Teaching Explainable Artificial Intelligence to High School Students
International Journal of Computational Intelligence Systems
Explainable artificial intelligence
Interpretable computational intelligence
Decision trees
Fuzzy rule-based classifiers
Educational AI resources
title Teaching Explainable Artificial Intelligence to High School Students
title_full Teaching Explainable Artificial Intelligence to High School Students
title_fullStr Teaching Explainable Artificial Intelligence to High School Students
title_full_unstemmed Teaching Explainable Artificial Intelligence to High School Students
title_short Teaching Explainable Artificial Intelligence to High School Students
title_sort teaching explainable artificial intelligence to high school students
topic Explainable artificial intelligence
Interpretable computational intelligence
Decision trees
Fuzzy rule-based classifiers
Educational AI resources
url https://www.atlantis-press.com/article/125942036/view
work_keys_str_mv AT josemalonso teachingexplainableartificialintelligencetohighschoolstudents