Convergence of Blockchain and Explainable Artificial Intelligence: BlockXAI

by Akansha Singh (Editor), Krishna Kant Singh (Editor)

Overview

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.

Product Details

ISBN-13:	9788770041751
Publisher:	River Publishers
Publication date:	10/30/2024
Series:	River Publishers Series in Digital Security and Forensics
Pages:	180
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Prof. Akansha Singh, Professor at the School of Computer Science and Engineering, Bennett University, Greater Noida, boasts a comprehensive academic background with a B.Tech, M.Tech, and Ph.D. in Computer Science. Her doctoral studies, conducted at the prestigious IIT Roorkee, were focused on the cutting-edge fields of image processing and machine learning. A prolific author and scholar, Dr. Singh has contributed over 100 research papers and penned several books, alongside a multitude of conference papers. Her editorial expertise is recognized by leading publishers such as Elsevier, Taylor and Francis, and Wiley, where she has edited books on a variety of emerging topics. Her research interests are diverse and influential, spanning image processing, remote sensing, the Internet of Things (IoT), Blockchain and machine learning. Prof. Singh's work in these areas not only advances the field of computer science but also significantly contributes to the broader scientific and technological community.

Prof. Dr. Krishna Kant Singh, currently the esteemed Director of Delhi Technical Campus in Greater Noida, India, is a highly experienced educator and researcher in the field of engineering and technology. His academic journey encompasses a B.Tech, M.Tech, and a Ph.D. from the renowned Indian Institute of Technology (IIT) Roorkee, specializing in image processing and machine learning. Dr. Singh's scholarly contributions are remarkable, with over 90 research papers published in prestigious Scopus and SCIE indexed journals. His commitment to knowledge dissemination is further evidenced by his authorship of 25 technical books, which serve as significant resources in the field of engineering and technology. Dr. Singh's dedication to his field is evident through his involvement in various capacities, from research and writing to editorial responsibilities. His work not only advances the field of engineering and technology but also inspires future generations of engineers and researchers.

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