Blockchain for AI Systems

1 Motivation

Artificial Intelligence (AI) systems are increasingly embedded in decentralized digital infrastructures, financial networks, supply chains, autonomous marketplaces, and governance platforms. At the same time, blockchain technologies offer programmable trust mechanisms such as cryptographic identity, immutable records, smart contracts, and token-based incentives. The convergence of blockchain and AI is reshaping how intelligent systems are designed and deployed [1]. It introduces new technical and economic challenges, while also creating opportunities to improve transparency, traceability, coordination, incentive alignment, and verifiable execution.

As AI systems become more distributed, collaborative, and in some cases autonomous, concerns arise around data integrity, model provenance, system accountability, and coordination across heterogeneous environments. In open or decentralized ecosystems, establishing trust without relying on centralized control becomes particularly important. Blockchain infrastructures may help address these concerns by supporting reliable data records, managing identity, enabling structured coordination, and providing enforceable mechanisms for interaction among AI services.

At the same time, integrating blockchain with AI is not straightforward. Blockchain systems face limitations in scalability and latency. Privacy requirements may conflict with system transparency. Economic mechanisms must be designed carefully to avoid instability or unintended incentives. Regulatory expectations can further complicate system design and deployment.

A clearer understanding of how blockchain and AI interact is therefore needed. This workshop will provide a focused forum for advancing research at this intersection. It invites work that explores how blockchain technologies can strengthen trust, coordination, and accountability in AI systems, while critically examining the technical and practical limits of such integration.

1.1 Alignment with BCRA 2026

The proposed workshop directly align with BCRA theme including:

• Blockchain architecture and protocols
• Smart contract and programmable governance
• Security, trust, transparency
• Tokenomics, incentive/slashing mechanism
• Scalability
• Integration of blockchain with AI

The workshop focuses on blockchain as an enabling infrastructure for AI systems, examining architectural design choices, trust mechanisms, coordination models, and economic structures that shape blockchain-enabled AI deployments across diverse application domains.

2 Objectives of Workshop

The workshop aims to examine how AI systems can be effectively integrated with blockchain infrastructures and what design choices influence this integration. It seeks to explore how blockchain technologies can support identity management, coordination, incentive alignment, auditability, and secure interaction in AI-driven environments. Particular attention will be given to distributed and multi-agent settings, where trust and enforceable mechanisms become especially important.

The workshop will also consider the technical, economic, and regulatory challenges that arise when deploying AI systems on or alongside blockchain platforms. Through these discussions, it aims to clarify practical trade-offs and identify open research questions in building scalable and reliable blockchain-enabled AI ecosystems.

3 Topic of Interest

The workshop invites submissions including, but not limited to:

• Architectural approaches to integrate blockchain infrastructures with AI systems.
• Using blockchain to record training data, track model updates, and maintain transparent model histories.
• Identity and reputation mechanisms for AI services, especially in decentralized or autonomous settings.
• Blockchain-based logging, traceability, and verifiable execution of AI processes.
• Token-based incentives and economic design for AI ecosystems and decentralized marketplaces.
• Security considerations when AI systems interact with blockchain platforms, including potential vulnerabilities and system resilience.
• Scalability and performance challenges that arise when deploying AI applications on blockchain-based infrastructure.
• Applications and case studies in finance, supply chains, federated learning, decentralized marketplaces, healthcare, and other regulated domains.
• Governance frameworks and regulatory considerations for blockchain-enabled AI systems.

Submissions may include theoretical work, system designs, empirical studies, simulations, implementation reports, or well-grounded interdisciplinary research.

4 Target Audience

The workshop is aimed at students, academics, doctoral researchers, and industry professionals working at the intersection of blockchain and artificial intelligence. The session welcomes participants who are considering the technical and practical implications of bringing these two technologies together.

5 Organizers

5.1 Organizing Committee

5.2 TPC Members

• 1Farhan Sufyan, Galgotias University, India
• 2Jakob Svennevik Notland, Riften Labs AS, Norway
• 3Je Sen Teh, Deakin University, Australia
• 4Micheal Olaolu Arowolo, Xavier University of Louisiana, USA
• 5Bhabendu Kumar Mohanta, United Arab Emirates University, UAE
• 6Shahnawaz Ahmad, Bennett University, India

6 Proposed Format and Schedule

HALF-DAY WORKSHOP

The workshop will combine peer-reviewed paper presentations and a moderated panel discussion. The goal is to encourage focused discussion while maintaining a manageable schedule.

Tentative Schedule

• 1Opening remarks (10 Minutes)
• 2Paper Presentations (60 Minutes)
• 3Break (15 Minutes)
• 4Paper Presentations (60 Minutes)
• 5Break (15 Minutes)
• 6Panel Discussion: The Future of Blockchain-Enabled AI
• 7Closing remarks

7 Expected Attendance

• We expect around 15 paper submission.
• The acceptance number will be around 6-8.
• We anticipate 20-25 participants for the workshop.

8 Call for Paper and Review Plan

The workshop seeks original papers of two types:

• Position Paper: Well-argued position or work in progress.
• Research Papers : Technical research, experience reports, empirical studies, etc.

The evaluation will be based on the significance of the problem, the novelty of the solution, advancement beyond prior work, the sufficiency of supporting evidence, and the clarity of presentation.

Please submit your paper via the submission site EasyChair by the deadline.

Submit via EasyChair

References

[1] Najmus Sakib Sizan, Diganta Dey, Md. Abu Layek, Md Ashraf Uddin, Eui-Nam Huh, Evaluating blockchain platforms for IoT applications in Industry 5.0: A comprehensive review, Blockchain: Research and Applications, Volume 6, Issue 3, 2025, 100276, ISSN 2096-7209,

https://doi.org/10.1016/j.bcra.2025.100276.