When Trust Meets Intelligence: The Intersection Between Blockchain, Artificial Intelligence and Internet of Things

A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI Systems: Theory and Applications".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1582

Special Issue Editors


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Guest Editor
Efrei Research Lab., Efrei Paris, Pantheon Assas University, 30-32 Avenue de Republic, 94800 Paris, France
Interests: blockchain; security; distributed systems; AI
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ESEN, University of Manouba, Cité Nasr 2010, Tunisia
Interests: IoT; networks; drones

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Guest Editor
LMCS Laboratory, High National School of Computer Science (ESI), Algiers, Algeria
Interests: AI; biometrics

Special Issue Information

Dear Colleagues,

In the last decade, the use of AI and IoT technologies has increased at a very rapid pace and has become an integral part of our daily life. This substantial increase raises many questions with regards to how generated data can be stored, managed, analyzed and secured in such a heterogeneous and massively distributed environment.

Combining blockchain with IoT and AI paradigms can be an effective solution for resolving such problems and reaping the benefits brought about by the spread of IoT devices and AI. In fact, blockchain as a peer-to-peer, secure and dependable paradigm can bring many advantages to today’s infrastructures, enabling the effective exploitation of IoT-generated data to provide trustworthy AI-based innovations.

This Special Issue stresses the potential and challenges of integrating blockchain with IoT and AI. It aims to attract contributions from both academic and industrial organizations focusing on the application of such emerging technologies and addressing the problems induced by the integration of artificial intelligence (AI) with blockchain technology for IoT-based infrastructures. We seek research that explores combining AI and blockchain to resolve existing limitations and challenges of latency, scalability, security and data management, and also contributes to the theoretical understanding of AI-enabled blockchain systems.

Topics of interest include (but are not limited to) the following:

  • AI, IoT and blockchain in Industry 5.0;
  • AI, IoT and blockchain in healthcare;
  • AI, IoT and blockchain in logistics and transportation;
  • AI, IoT and blockchain in enabling open collaboration and modern business infrastructure;
  • The security of modern infrastructures based on AI, IoT and blockchain;
  • Privacy preservation AI, IoT and blockchain-based platforms;
  • AI, IoT and blockchain applications in the metaverse;
  • Regulatory frameworks and standards of AI, IoT and blockchain;
  • AI, IoT and blockchain smart grids and energy systems;
  • AI, IoT and blockchain in disaster management and emergency response systems;
  • AI, IoT and blockchain in smart cities and urban planning.

Dr. Layth Sliman
Dr. Amine Dhraief
Dr. Hachemi Nabil Dellys
Guest Editors

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Keywords

  • blockchain
  • IoT
  • AI
  • soft computing
  • neural networks
  • IOTA
  • distributed ledger
  • secure infrastructures
  • ethical AI

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Published Papers (1 paper)

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Research

28 pages, 2892 KB  
Article
“In Metaverse Cryptocurrencies We (Dis)Trust?”: Mediators and Moderators of Blockchain-Enabled Non-Fungible Token (NFT) Adoption in AI-Powered Metaverses
by Seunga Venus Jin
AI 2025, 6(11), 286; https://doi.org/10.3390/ai6110286 - 4 Nov 2025
Viewed by 870
Abstract
Metaverses have been hailed as the next arena for a wide spectrum of technovation and business opportunities. This research (∑ N = 714) focuses on the three underexplored areas of virtual commerce in AI-enabled metaverses: blockchain-powered cryptocurrencies, non-fungible tokens (NFTs), and AI-powered virtual [...] Read more.
Metaverses have been hailed as the next arena for a wide spectrum of technovation and business opportunities. This research (∑ N = 714) focuses on the three underexplored areas of virtual commerce in AI-enabled metaverses: blockchain-powered cryptocurrencies, non-fungible tokens (NFTs), and AI-powered virtual influencers. Study 1 reports the mediating effects of (dis)trust in AI-enabled blockchain technologies and the moderating effects of consumers’ technopian perspectives in explaining the relationship between blockchain transparency perception and intention to use cryptocurrencies in AI-powered metaverses. Study 1 also reports the mediating effects of Neo-Luddism perspectives regarding metaverses and the moderating effects of consumers’ social phobia in explaining the relationship between AI-algorithm awareness and behavioral intention to engage with AI-powered virtual influencers in metaverses. Study 2 reports the serial mediating effects of general perception of NFT ownership and psychological ownership of NFTs as well as the moderating effects of the investment value of NFTs in explaining the relationship between acknowledgment of the nature of NFTs and intention to use NFTs in AI-enabled metaverses. Theoretical contributions to the literature on digital materiality and psychological ownership of blockchain/cryptocurrency-powered NFTs as emerging forms of digital consumption objects are discussed. Practical implications for NFT-based branding/entrepreneurship and creative industries in blockchain-enabled metaverses are provided. Full article
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