Teaching Explainable Artificial Intelligence to High School Students
- DOI
- 10.2991/ijcis.d.200715.003How to use a DOI?
- Keywords
- Explainable artificial intelligence; Interpretable computational intelligence; Decision trees; Fuzzy rule-based classifiers; Educational AI resources
- Abstract
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.
- Copyright
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Jose M. Alonso PY - 2020 DA - 2020/07/24 TI - Teaching Explainable Artificial Intelligence to High School Students JO - International Journal of Computational Intelligence Systems SP - 974 EP - 987 VL - 13 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.200715.003 DO - 10.2991/ijcis.d.200715.003 ID - Alonso2020 ER -