Web3 and AI Security

Jerry Huang, Ken Huang (), Krystal Jackson, Luyao Zhang and Jennifer Toren
Additional contact information
Jerry Huang: The University of Chicago
Ken Huang: DistributedApps LLC
Krystal Jackson: University of California, Berkeley
Luyao Zhang: Duke Kunshan University
Jennifer Toren: Cloud Security Alliance

Chapter Chapter 8 in Web3 Applications Security and New Security Landscape, 2024, pp 153-179 from Springer

Abstract: Abstract This chapter examines the intersection of Web3 and AI in security, focusing on how they can enhance each other. It highlights AI’s potential for dynamic threat detection and adaptive security in Web3 environments. However, AI also introduces risks like generative output manipulation, overreliance, and ethical concerns. To address these, the chapter proposes governance frameworks encompassing model verification, multi-layered defense strategies, and responsible AI development leveraging Web3’s decentralized nature. Perspectives are provided on constraints for AI advancement, integrating AI in critical infrastructure, data-centric machine learning pipelines with DLT, model integrity via blockchain, and mitigating AI existential risk through Web3.

Keywords: Web3; Blockchain; Artificial intelligence; Machine learning; Security; Governance; Ethics; Generative AI; Decentralized applications; Web3 and AI integration; Model validation; Responsible AI (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-58002-4_8

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DOI: 10.1007/978-3-031-58002-4_8

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