Journal
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Volume 13, Issue 1, Pages 974-987Publisher
SPRINGERNATURE
DOI: 10.2991/ijcis.d.200715.003
Keywords
Explainable artificial intelligence; Interpretable computational intelligence; Decision trees; l'uzzy rule-based classifiers; Educational AT resources
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Funding
- Spanish Ministry of Science, Innovation and Universities [RTI2018-099646-B-I00, TIN2017-84796-C2-1-R, TIN2017-90773-REDT, RED2018-102641-T]
- Galician Ministry of Education, University and Professional Training [ED431F2018/02, ED431C2018/29, ED431G2019/04]
- European Regional Development Fund (ERDF/FEDER program)
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Artificial Intelligence (Al) is part of our everyday life and has become one of the most outstanding and strategic technologies. Explainable Al (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 lot 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. (C) 2020 The ituthors. Published by Atlantis Press B.V.
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