AI and Blockchain: Synergies, Challenges, and Innovations

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1914

Special Issue Editors


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Guest Editor

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Guest Editor
Department of Information Engineering (DII), University of Brescia, 25121 Brescia, Italy
Interests: big data exploration; smart cities; semantic web; data lake; blockchain; big data; business intelligence

Special Issue Information

Dear Colleague,

This Special Issue explores the intersection of artificial intelligence (AI) and blockchain technology, highlighting their combined potential to revolutionize various industries. The issue brings together cutting-edge research and innovative applications, providing insights into the synergies, challenges, and future directions of these transformative technologies.

Relevant research topics are as follows:

  1. AI for blockchain optimization: exploring how AI can enhance blockchain efficiency, scalability, and security through predictive analytics, machine learning, and optimization algorithms.
  1. Blockchain for AI trustworthiness: investigating how blockchain can ensure the integrity, transparency, and auditability of AI models and data, fostering trust in AI systems.
  1. Decentralized AI: examining decentralized AI applications where blockchain facilitates distributed learning, federated learning, and the secure sharing of AI models and data.
  1. Smart contracts and autonomous systems: analyzing the integration of AI with smart contracts to enable self-executing, autonomous systems in various domains, such as finance, the supply chain, and IoT.
  1. Data privacy and security: addressing the combined role of AI and blockchain in enhancing data privacy and security, including techniques for secure multiparty computation, differential privacy, and encrypted data analysis.
  1. Governance and ethical implications: discussing the ethical, legal, and governance issues arising from the convergence of AI and blockchain, including issues of bias, accountability, and regulatory compliance.
  1. AI-driven blockchain applications: showcasing innovative applications where AI drives the development of blockchain solutions, including healthcare, finance, logistics, and beyond.
  1. Interoperability and standards: investigating the challenges and solutions for achieving interoperability between AI systems and different blockchain platforms, along with the development of industry standards.

This Special Issue aims to provide a comprehensive overview of the current state of research, highlight novel approaches, and foster a multidisciplinary dialogue on the future landscape of AI and blockchain technologies.

Dr. Klitos Christodoulou
Dr. Massimiliano Garda
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence
  • blockchain
  • smart contracts
  • distributed ledger

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Published Papers (1 paper)

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Research

47 pages, 3078 KiB  
Article
Leveraging Blockchain for Ethical AI: Mitigating Digital Threats and Strengthening Societal Resilience
by Chibuzor Udokwu, Roxana Voicu-Dorobanțu, Abiodun Afolayan Ogunyemi, Alex Norta, Nata Sturua and Stefan Craß
Future Internet 2025, 17(7), 309; https://doi.org/10.3390/fi17070309 - 17 Jul 2025
Viewed by 600
Abstract
This position paper proposes a conceptual framework (CF-BIAI-SXT) for integrating blockchain with AI to enhance ethical governance, transparency, and privacy in high-risk AI applications that ensure societal resilience through the mitigation of sexual exploitation. Sextortion is a growing form of digital sexual exploitation, [...] Read more.
This position paper proposes a conceptual framework (CF-BIAI-SXT) for integrating blockchain with AI to enhance ethical governance, transparency, and privacy in high-risk AI applications that ensure societal resilience through the mitigation of sexual exploitation. Sextortion is a growing form of digital sexual exploitation, and the role of AI in its mitigation and the ethical issues that arise provide a good case for this paper. Through a combination of systematic and narrative literature reviews, the paper first explores the ethical shortcomings of existing AI systems in sextortion prevention and assesses the capacity of blockchain operations to mitigate these limitations. It then develops CF-BIAI-SXT, a framework operationalized through BPMN-modeled components and structured into a three-layer implementation strategy composed of technical enablement, governance alignment, and continuous oversight. The framework is then situated within real-world regulatory constraints, including GDPR and the EU AI Act. This position paper concludes that a resilient society needs ethical, privacy-first, and socially resilient digital infrastructures, and integrating two core technologies, such as AI and blockchain, creates a viable pathway towards this desideratum. Mitigating high-risk environments, such as sextortion, may be a fundamental first step in this pathway, with the potential expansion to other forms of online threats. Full article
(This article belongs to the Special Issue AI and Blockchain: Synergies, Challenges, and Innovations)
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