Blockchain and Explainable AI (BlockXAI) Guide

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Blockchain and Explainable AI (BlockXAI) Guide

Master the intersection of AI transparency and secure distributed systems with this comprehensive blockchain explainable AI guide. Learn how blockchain technology and explainable AI (XAI) work together to create trustable, transparent, and tamper-proof intelligent systems. This guide is ideal for AI engineers, data scientists, and blockchain developers looking to integrate the best of both technologies into modern solutions.

What You’ll Learn

  • The fundamentals of blockchain technology and consensus mechanisms
  • Core principles and techniques of explainable AI (XAI)
  • How blockchain enhances the trust and traceability of AI models
  • Implementing smart contracts for AI auditability
  • Decentralized model management and data sharing
  • Case studies: healthcare, finance, and supply chain applications
  • Security, privacy, and ethical considerations in BlockXAI

Requirements

  • Basic understanding of machine learning and AI
  • Familiarity with blockchain concepts is recommended
  • Experience with Python or similar programming languages

Book Description

This blockchain explainable AI guide explores the synergy between two transformative technologies: blockchain and XAI. As AI systems become increasingly complex, the demand for transparent, explainable decisions grows. Coupled with blockchain’s immutability and decentralized nature, BlockXAI systems offer robust solutions for industries demanding verifiability and accountability.

The book starts by laying the foundational concepts of both technologies, then progresses into their integration through real-world frameworks and tools. You’ll explore architectures that use blockchain to log AI model decisions, smart contracts for enforcing model integrity, and XAI methods to open the “black box” of machine learning models.

By the end of this guide, you’ll be equipped to design, evaluate, and implement decentralized AI systems that are explainable, secure, and future-proof.

About the Authors

Written by AI and blockchain researchers with years of academic and industry experience, this guide blends theory with hands-on applications, making it suitable for professionals and researchers alike.

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