Arrieta – Explainable Artificial Intelligence (XAI)

Libro adottato a Trieste, a.a. 2026/2027 · 1 canale

«Arrieta – Explainable Artificial Intelligence (XAI)» è adottato per Explainable, Causal And Neuro-Symbolic Artificial Intelligence dal prof. Luca Bortolussi (Data Science and Artificial Intelligence – sede di Trieste – Trieste).

Come lo indica il docente: Arrieta, Alejandro Barredo, et al. "Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI." Information fusion 58 (2020): 82-115. Yang, Wenli, et al. "Survey on explainable AI: From approaches, limitations and Applications aspects." Human-Centric Intelligent Systems 3.3 (2023): 161-188. Núñez, Haydemar, Cecilio Angulo, and Andreu Català. "Rule extraction from support vector machines." Esann. 2002. Mothilal, Ramaravind K., Amit Sharma, and Chenhao Tan. "Explaining machine learning classifiers through diverse counterfactual explanations." Proceedings of the 2020 conference on fairness, accountability, and transparency. 2020. The Causal part builds on the book "Introduction to Causal Inference from a Machine Learning Perspective" by Brady Neal. The Neuro Symbolic Computing part builds on: Shakarian, Paulo, et al. (2023). "Neuro Symbolic Reasoning and Learning". Springer. Other relevant references as well as slides will be provided throughout the course

Chi lo adotta

• Explainable, Causal And Neuro-Symbolic Artificial Intelligence – Prof. Luca Bortolussi (canale unico)Data Science and Artificial Intelligence – sede di Trieste · Laurea magistrale (LM Data) · esame facoltativo · 6 CFU

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