Convergence of blockchain and explainable artificial intelligence : BlockXAI / editors, Akansha Singh and Krishna Kant Singh.

Format:

Book

Contributor:

Singh, Akansha, editor.

Singh, Krishna Kant, editor.

Series:

River Publishers series in earth and environmental sciences.

River Publishers Series in Digital Security and Forensics Series

Language:

English

Subjects (All):

Blockchains (Databases).

Physical Description:

1 online resource (180 pages)

Edition:

First edition.

Place of Publication:

Gistrup, Denmark : River Publishers, [2024]

Summary:

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

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

List of Figures

List of Tables

List of Contributors

List of Abbreviations

Chapter 1: BlockXAI: Review of Blockchain for Explainable Artificial Intelligence

1.1: Introduction

1.2: Blockchain for XAI

1.2.1: Blockchain overview

1.3: Limitations of Artificial Intelligence

1.4: Integration of Blockchain and XAI

1.5: Application Area of BlockXAI

1.6: Benefits of BlockXAI

1.7: Conclusion and Future Work

Chapter 2: XAI decision MODELS: Programming models for decentralized BlockXAI

2.1: Introduction

2.2: XAI Decision Models

2.3: Types of XAI Decision Models

2.4: Centralized and Decentralized XAI Decision Models

2.5: Decentralized XAI Decision Models

2.6: Categories of Decentralized XAI Decision Models

Chapter 3: Blockchain-based frameworks for Explainable AI

3.1: Introduction

3.2: Blockchain-based XAI Frameworks

3.3: AI Decision-making: Explainability and Openness

3.4: Challenges Faced

3.5: Suggestions

Chapter 4: Explainable Artificial Intelligence (XAI): Notions of Explainability and its Integration with Blockchain

4.1: Introduction

4.2: Machine Learning and Artificial Neural Networks

4.3: Need of XAI

4.4: Explainable Artificial Intelligence

4.5: XAI and Cognitive Sciences

4.6: Explanations and Their Characteristics

4.7: Different Types of Approaches to Explain and Interpret

4.8: Implemented XAI Applications

4.8.1: Recommendation systems

4.8.2: Constraint programming

4.8.3: Context-aware systems

4.8.4: Markov decision processes (MDPs)

4.8.5: Explanations in machine learning

4.8.6: Deep learning explanation approaches

4.9: Blockchain-based Framework for Trustworthy AI

4.10: Conclusion.

Chapter 5: Human−Computer Interaction (HCI): An Advancement in the Development of Computer Technology

5.1: Introduction

5.2: History of Human-Computer Interaction

5.2.1: Present day of human-computer interaction

5.2.2: Applications of HCI in different real-life sectors

5.3: Industry and Business

5.3.1: Accessibility

5.3.2: Users who are untrained

5.3.3: Other applications

5.4: Recent Development in Human-Computer Interaction

5.4.1: Dexta haptic gloves

5.4.2: Pre-touch sensing

5.4.3: Paper ID

5.5: Evaluation Methods and Metrics for HCI

5.6: Ethical, Legal, and Social Issues of HCI

5.7: Future of Human-Computer Interaction

5.8: Methodology and Scope of the Research

5.9: Recommendations for Future

5.10: Conclusion

Chapter 6: Human−Computer Interaction and Explainable Artificial Intelligence: For the Effective Use of Technology

6.1: Introduction

6.2: Overview of HCI and XAI

6.3: Methodologies/Tools and Technologies of HCI and XAI Technologies

6.4: HCI-based Tools/Technologies

6.5: XAI Techniques

6.6: Feature Importance

6.7: Partial Dependence Plot

6.8: Local Interpretable Model-agnostic Explanations (LIME)

6.9: SHapley Additive exPlanations (SHAP)

6.10: HCI and XAI Systems in Different Real-life Sectors

6.11: Shortcomings, Goals/Future Research Opportunities of HCI and XAI

6.11.1: Shortcomings of HCI and XAI

6.11.2: Shortcomings of XAI

6.11.3: Goals/future research opportunities of HCI and XAI

6.12: Evaluation Methods for HCI and XAI

6.13: Ethical, Legal, and Social Issues of HCI and XAI

6.14: Conclusion

Chapter 7: BMRP: Blockchain-Based Medication Reconciliation Process in EHR to Improve Patient Safety

7.1: Introduction

7.2: Related Work

7.3: Background

7.4: Medication Reconciliation

7.5: Creating Best Possible Medication History.

7.6: Mitral Valve Replacement

7.7: Dataset Description

7.8: Methodology

7.9: Classification Model

7.10: Decision Tree Algorithm

7.11: Experiments and Results

7.12: Conclusion

Chapter 8: Blockchain-Based IoT Healthcare Data Using Narrow Elliptical Curve with Particle Swarm Optimization (NECPSO) Approach

8.1: Introduction

8.2: Literature Review

8.3: System Design

8.4: Result and Discussion

8.5: Conclusion

Chapter 9: BlockXAI: Challenges and Future

9.1: Introduction

9.2: Challenges in Blockchain

9.3: Challenges of XAI

9.4: Future of Blockchain

9.5: Future of XAI

9.6: Integration of BlockXAI

9.7: Challenges in Integrating Blockchain with XAI

9.8: Road Ahead: BlockXAI

9.9: Legal and Ethical Issues in BlockXAI

9.10: Open Research Problems in BlockXAI

9.11: Conclusion

Index

About the Editors.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9788770046398

8770046395

9781040226544

104022654X

9788770046305

8770046301

9788770041744

8770041741

OCLC:

1450435282