Special Issue on Distributed Ledger Technologies and Artificial Intelligence


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In an era marked by rapid technological advancements, the convergence of Distributed Ledger Technology (DLT) and Artificial Intelligence (AI) represents a paradigm shift, heralding a new age of innovation and transformation across various sectors. This special issue of the journal is dedicated to exploring the rich use cases that emerge at the intersection of these two ground-breaking domains.

DLT, with its decentralized and immutable ledger capabilities, has already begun reshaping industries such as finance, supply chain, and healthcare. On the other hand, AI, with its ability to learn, analyze, and make decisions, is redefining possibilities in data processing, automation, and predictive analytics. The fusion of DLT and AI is not just an amalgamation of two technologies; it is the creation of a new frontier in technological innovation. This special issue aims to capture this synergy, offering a comprehensive view of current developments, challenges, and future prospects.

We invite contributions that delve into the theoretical underpinnings, practical applications, and case studies demonstrating the integration of DLT and AI. This issue is intended to be a repository of high-quality research articles, reviews, and thought-provoking discussions. It targets a wide range of readers, including academics, industry professionals, and technology enthusiasts, who are keen to stay abreast of the latest developments and explore how these technologies can be leveraged to solve real-world problems.

List of topic areas

1. DLT for AI Trust and Security:

  • DLT applications in securing AI models and data.
  • Trust and privacy in AI-driven systems through DLT.

2. Decentralized AI Applications:

  • AI algorithms for smart contracts and decentralized applications (DApps).
  • AI-driven autonomous agents in decentralized ecosystems.

3. AI-Enhanced DLT Scalability:

  • AI solutions for optimizing DLT consensus and scalability.
  • Machine learning in DLT networks resource management.

4. Data Management and Analytics:

  • DLT-based data sharing and analytics with AI.
  • AI-driven data extraction from distributed ledgers.

5. Interoperability and Standards:

  • AI-based solutions for DLT interoperability.
  • Standardization efforts in integrating AI with DLT.

6. Use Cases and Applications:

  • Innovative applications combining AI and DLT in finance, healthcare, supply chain, govtech  and more.
  • Real-world case studies and success stories.

7. Ethical and Legal Considerations:

  • Ethical implications of using AI in DLT-based systems.
  • Legal and regulatory challenges in AI-enhanced DLT-based applications.

Guest Editors

Francisco José Quesada Real, University of Jaén, Spain, [email protected]
Oscar Carlos Medina , Universidad Tecnológica Nacional – Facultad Regional Córdoba, Argentina,  [email protected]  
Ana Isabel Azevedo,  CEOS.PP/ ISCAP/ Polytechnic of Porto, Portugal, [email protected] 

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available here.
Author guidelines must be strictly followed. Please see here

Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”. 

Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Key deadlines

Closing date for manuscripts submission: 29/02/2024    

Final acceptance date: 30/09/2024