
Sean Mondesire, Ph.D.

This groundbreaking book provides a powerful framework for integrating blockchain technology into AI systems. It focuses on how blockchain can create a “Trust Layer” for AI products, offering a fundamental feature previously limited to blockchain networks themselves. You’ll learn how provable consensus algorithms and oracles can be extended to autonomous agents and large language models (LLMs).
In the rapidly evolving world of AI, safety is a major concern for practical applications, and blockchain can help mitigate threats due to its decentralized nature. The authors rigorously study how blockchain provides enhanced security against prompt injections, LLM-hijacking for dangerous information, and privacy breaches. The book guides readers on how to:
• Bring a layer of accuracy to generative AI by using non-generative components as guardrails.
• Protect users from harmful biases and hallucinations.
• Understand blockchain’s role in aligning AI with human interests.
• Review real-world applications and use cases from organizations that have heavily invested in combining these technologies.
This book is essential for enterprise users and policy makers in the field of Professional and Applied Computing! (https://link.springer.com/book/10.1007/979-8-8688-1402-0)
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