Blockchain for AI Systems Workshop
Co-located with BCRA 2026, the International Conference on Blockchain Research and Applications
Palermo, Italy
https://bcra-conf.seedsbit.com/calls/blockchain-for-ai-systems/

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Paper submission deadline: 15 May 2026 (23:59 AoE)
Acceptance notification: 29 May 2026 (23:59 AoE)
Camera-ready submission: 5 June 2026 (23:59 AoE) (Aligned with the main conference)
Workshop dates: one day between 10 and 15 July 2026
Venue: Splendid Hotel La Torre, Mondello, Palermo, Italy
Submission link: https://easychair.org/my2/conference?conf=bcra2026

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The Blockchain for AI Systems 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 is given to distributed and multi-agent settings, where trust and enforceable mechanisms become especially important.

The workshop also considers 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.

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.

The workshop seeks original papers of two types:

1) Position Papers: well-argued position or work in progress.
2) 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.

The accepted papers will be published in Springer Proceedings and indexed by EI Compendex.

All submissions must be in English and in PDF format.

Please use the Springer proceedings template (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) for papers during the submission stage. Papers can be submitted via the EasyChair platform (https://easychair.org/my2/conference?conf=bcra2026) by the deadline.

It is mandatory for at least one of the author(s) of accepted papers (both full and short) to register and present their papers at the conference to have the papers published. Detailed presentation instructions will be sent to the accepted paper authors.

Workshop chairs

Mohd Sameen Chishti, Norwegian University of Science and Technology (NTNU), Norway
Damilare Peter Oyinloye, Norwegian University of Science and Technology (NTNU), Norway

TPC Members

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