Logo Oapen
  • Join
    • Deposit
    • For Librarians
    • For Publishers
    • For Researchers
    • Funders
    • Resources
    • OAPEN
        View Item 
        •   OAPEN Home
        • View Item
        •   OAPEN Home
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Explainable Artificial Intelligence

        Third World Conference, xAI 2025, Istanbul, Turkey, July 9–11, 2025, Proceedings, Part III

        Thumbnail
        Download PDF Viewer
        Web Shop
        Contributor(s)
        Guidotti, Riccardo (editor)
        Schmid, Ute (editor)
        Longo, Luca (editor)
        Language
        English
        Show full item record
        Abstract
        This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025. The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers are organized in the following topical sections: Volume I: Concept-based Explainable AI; human-centered Explainability; explainability, privacy, and fairness in trustworthy AI; and XAI in healthcare. Volume II: Rule-based XAI systems & actionable explainable AI; features importance-based XAI; novel post-hoc & ante-hoc XAI approaches; and XAI for scientific discovery. Volume III: Generative AI meets explainable AI; Intrinsically interpretable explainable AI; benchmarking and XAI evaluation measures; and XAI for representational alignment. Volume IV: XAI in computer vision; counterfactuals in XAI; explainable sequential decision making; and explainable AI in finance & legal frameworks for XAI technologies. Volume V: Applications of XAI; human-centered XAI & argumentation; explainable and interactive hybrid decision making; and uncertainty in explainable AI.
        URI
        https://library.oapen.org/handle/20.500.12657/107661
        Keywords
        Open Access; eXplainable Artificial Intelligence; Artificial Intelligence; Machine learning; Interpretable machine learning; Causal inference & explanations; Ante-hoc approaches for interpretability; Argumentative-based approaches for explanations; Auto-encoders & explainability of latent spaces; Black-boxes vs white-boxes; Case-based explanations for AI systems; Decomposition of neural network-based models for XAI; Graph neural networks for explainability; Interpreting & explaining Convolutional Neural Networks; Interpretable representational learning; Model-specific vs model-agnostic methods for XAI; Neuro-symbolic reasoning for XAI; Natural language processing for explanations; Pruning methods with XAI; Post-hoc methods for explainability
        DOI
        10.1007/978-3-032-08327-2
        ISBN
        9783032083272, 9783032083272, 9783032083265
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2026
        Imprint
        Springer
        Series
        Communications in Computer and Information Science; Artificial Intelligence (R0), 2578
        Classification
        Artificial intelligence
        Natural language and machine translation
        Applied computing
        Network hardware
        Pages
        448
        Public remark
        Funded by: Poetic Evolution LDA, Portugal
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

        Browse

        All of OAPENSubjectsPublishersLanguagesCollections

        My Account

        LoginRegister

        Export

        Repository metadata
        Logo Oapen
        • For Librarians
        • For Publishers
        • For Researchers
        • Funders
        • Resources
        • OAPEN

        Newsletter

        • Subscribe to our newsletter
        • view our news archive

        Follow us on

        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

        OAPEN is based in the Netherlands, with its registered office in the National Library in The Hague.

        Director: Niels Stern

        Address:
        OAPEN Foundation
        Prins Willem-Alexanderhof 5
        2595 BE The Hague
        Postal address:
        OAPEN Foundation
        P.O. Box 90407
        2509 LK The Hague

        Websites:
        OAPEN Home: www.oapen.org
        OAPEN Library: library.oapen.org
        DOAB: www.doabooks.org

         

         

        Export search results

        The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

        A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

        To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

        After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.