LEADER 03582nam 22006135 450 001 996558567703316 005 20231029045235.0 010 $a3-031-44064-1 024 7 $a10.1007/978-3-031-44064-9 035 $a(MiAaPQ)EBC30832463 035 $a(Au-PeEL)EBL30832463 035 $a(DE-He213)978-3-031-44064-9 035 $a(PPN)27291505X 035 $a(EXLCZ)9928572699500041 100 $a20231029d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExplainable Artificial Intelligence$b[electronic resource] $eFirst World Conference, xAI 2023, Lisbon, Portugal, July 26?28, 2023, Proceedings, Part I /$fedited by Luca Longo 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (711 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1901 311 08$aPrint version: Longo, Luca Explainable Artificial Intelligence Cham : Springer,c2023 9783031440632 327 $aInterdisciplinary perspectives, approaches and strategies for xAI -- Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI -- Explainable AI in Finance, cybersecurity, health-care and biomedicine. 330 $aThis three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1901 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aApplication software 606 $aComputer networks 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science). 615 0$aApplication software. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aLongo$b Luca$01337583 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996558567703316 996 $aExplainable Artificial Intelligence$93590102 997 $aUNISA