Convergence Of Blockchain And Explainable Artificial Intelligence

Download Convergence Of Blockchain And Explainable Artificial Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Convergence Of Blockchain And Explainable Artificial Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Convergence of Blockchain and Explainable Artificial Intelligence

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.
Advances in the Convergence of Blockchain and Artificial Intelligence

Author: Tiago M. Fernández-Caramés
language: en
Publisher: BoD – Books on Demand
Release Date: 2022-01-12
Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past of BC through the history of Bitcoin and then looks into the future: from massive internet-of-things (IoT) deployments, to the so-called metaverse, and to the next generation of AI-powered BC-based cyber secured applications.
Explainable AI and Blockchain for Secure and Agile Supply Chains

This book examines the transformative potential of integrating Explainable Artificial Intelligence (XAI) and blockchain technology in modern supply chain management. It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, the chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain to ensure data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders. This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.