Teaching Explainable Artificial Intelligence to High School Students
José M. Alonso
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.
Topics & Concepts
Transparency (behavior)AccountabilityPlan (archaeology)Computer scienceContext (archaeology)Artificial intelligenceModalMathematics educationKnowledge managementManagement scienceEngineeringPsychologyPolitical sciencePaleontologyChemistryLawPolymer chemistryBiologyArchaeologyHistoryComputer securityExplainable Artificial Intelligence (XAI)Machine Learning and Data ClassificationComputational Physics and Python Applications