Description

Book Synopsis

Concept-based Explainable AI.- Global Properties from Local Explanations with Concept Explanation Clusters.- From Colors to Classes: Emergence of Concepts in Vision Transformers.- V-CEM: Bridging Performance and Intervenability in Concept-based Models.- Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations.- Concept Extraction for Time Series with ECLAD-ts.- Human-Centered Explainability.- A Nexus of Explainability and Anthropomorphism in AI-Chatbots.- Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection.- Generating Rationales Based on Human Explanations for Constrained Optimization.- Algorithmic Knowability: a unified approach to Explanations in the AI Act.- Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities.- Explainability, Privacy, and Fairness in Trustworthy AI.- Too Sure for Trust. The Paradoxical Effect of Calibrated Confidence in case of Uncalibrated Trust in Hybrid Decision Making.- The Impact of Concept Explanations and Interventions on Human-machine Collaboration.-Leaking LoRA: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models.- Exploring Explainability in Federated Learning: A Comparative Study on Brain Age Prediction.- The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments.- XAI in Healthcare.- Systematic Benchmarking of Local and Global Explainable AI Methods for Tabular Healthcare Data.- A Combination of Integrated Gradients and SRFAMap for Explaining Neural Networks Trained with High-order Statistical Radiomic Features.- FAIR-MED: Bias Detection and Fairness Evaluation in Healthcare Focused XAI.- Weakly Supervised Pixel-Level Annotation with Visual Interpretability.- Assessing the Value of Explainable Artificial Intelligence for Magnetic Resonance Imaging.

Explainable Artificial Intelligence

    Product form

    £33.24

    Includes FREE delivery

    RRP £3,499.00 – you save £3,465.76 (99%)

    Order before 4pm today for delivery by Fri 3 Jul 2026.

    A Paperback by Riccardo Guidotti

    3 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Explainable Artificial Intelligence by Riccardo Guidotti

      Publisher: Springer
      Publication Date: 11/11/2025
      ISBN13: 9783032083166, 978-3032083166
      ISBN10: 3032083168
      Also in:
      Natural language and machine translation

      Description

      Book Synopsis

      Concept-based Explainable AI.- Global Properties from Local Explanations with Concept Explanation Clusters.- From Colors to Classes: Emergence of Concepts in Vision Transformers.- V-CEM: Bridging Performance and Intervenability in Concept-based Models.- Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations.- Concept Extraction for Time Series with ECLAD-ts.- Human-Centered Explainability.- A Nexus of Explainability and Anthropomorphism in AI-Chatbots.- Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection.- Generating Rationales Based on Human Explanations for Constrained Optimization.- Algorithmic Knowability: a unified approach to Explanations in the AI Act.- Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities.- Explainability, Privacy, and Fairness in Trustworthy AI.- Too Sure for Trust. The Paradoxical Effect of Calibrated Confidence in case of Uncalibrated Trust in Hybrid Decision Making.- The Impact of Concept Explanations and Interventions on Human-machine Collaboration.-Leaking LoRA: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models.- Exploring Explainability in Federated Learning: A Comparative Study on Brain Age Prediction.- The Dynamics of Trust in XAI: Assessing Perceived and Demonstrated Trust Across Interaction Modes and Risk Treatments.- XAI in Healthcare.- Systematic Benchmarking of Local and Global Explainable AI Methods for Tabular Healthcare Data.- A Combination of Integrated Gradients and SRFAMap for Explaining Neural Networks Trained with High-order Statistical Radiomic Features.- FAIR-MED: Bias Detection and Fairness Evaluation in Healthcare Focused XAI.- Weakly Supervised Pixel-Level Annotation with Visual Interpretability.- Assessing the Value of Explainable Artificial Intelligence for Magnetic Resonance Imaging.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account