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  • Convergence of Blockchain and Explainable Artificial Intelligence: BlockXAI

    Convergence of Blockchain and Explainable Artificial Intelligence by Singh, Akansha; Singh, Krishna Kant;

    BlockXAI

    Series: River Publishers Series in Digital Security and Forensics;

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      • Publisher's listprice GBP 99.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        47 770 Ft (45 495 Ft + 5% VAT)
      • Discount 20% (cc. 9 554 Ft off)
      • Discounted price 38 216 Ft (36 396 Ft + 5% VAT)

    47 770 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher River Publishers
    • Date of Publication 30 October 2024

    • ISBN 9788770041751
    • Binding Hardback
    • No. of pages180 pages
    • Size 234x156 mm
    • Weight 460 g
    • Language English
    • Illustrations 8 Illustrations, black & white; 17 Illustrations, color; 4 Tables, black & white
    • 608

    Categories

    Short description:

    This book provides a detailed description of the topics related to XAI and Blockchain.

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    Long description:

    Explainable AI (XAI) is an upcoming research field in the domain of machine learning. This book aims to provide a detailed description of the topics related to XAI and Blockchain. These two technologies can benefit each other, and the research outcomes will benefit society in multiple ways.


    Existing AI systems make decisions in a black box manner. Explainable AI delineates how an AI system arrived at a particular decision. It inspects the steps and models that are responsible for making a particular decision. It is an upcoming trend that aims at providing explanations to the AI decisions. Blockchain is emerging as an effective technique for XAI. It enables accessibility to digital ledgers amongst the various AI agents. The AI agents collaborate using consensus and decisions are saved on Blocks. These blocks can be traced back but cannot be changed. Thus, the combination of AI with blockchain provides transparency and visibility to all AI decisions. BlockXAI is also being widely used for improving data security and intelligence. The decisions made are consensus based and decentralized leading to highly efficient AI systems.


    This book also covers topics that present the convergence of Blockchain with explainable AI and will provide researchers, academics, and industry experts with a complete guide to BlockXAI.

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    Table of Contents:

    1. BlockXAI: Review of Blockchain for Explainable Artificial Intelligence 2. XAI decision MODELS: Programming models for Decentralized BlockXAI 3. Blockchain Based Frameworks for Explainable AI 4. Explainable Artificial Intelligence (XAI): Notions of Explainability and its Integration with Blockchain 5. Human Computer Interaction (HCI) – An Advancement in the Development of Computer Technology 6. Human–Computer Interaction and Explainable Artificial Intelligence: For the Effective Use of Technology 7. BMRP: Blockchain-based Medication Reconciliation Process in EHR to Improve Patient Safety 8. Blockchain-based IoT Healthcare Data Using a Narrow Elliptical Curve With the Particle Swarm Optimization (Necpso) Approach 9. BlockXAI: Challenges and Future

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