International Workshop on Blockchain and Financial Intelligence (BFI 2025)

Blockchain technology, combined with advances in artificial intelligence (AI) and large language models (LLMs), is dramatically reshaping the financial landscape. This convergence is powering new decentralized financial ecosystems (DeFi), enhancing transaction transparency, optimizing financial risk management, and enabling novel regulatory approaches. This workshop aims to investigate the dynamic relationship between blockchain, AI-driven financial analytics, decentralized finance (DeFi), and large-scale generative models, emphasizing their potential to revolutionize traditional finance and emerging fintech solutions within the Web 3.0 paradigm.

The financial industry is increasingly leveraging blockchain to achieve decentralization, transparency, and immutable transaction records. Concurrently, AI and sophisticated large-scale models (such as ChatGPT and BloombergGPT) are enhancing decision-making, fraud detection, credit scoring, and predictive analytics. Web 3.0 frameworks amplify these advances by prioritizing interoperability, decentralized governance, and enhanced user empowerment, presenting new opportunities and challenges for financial technologies.

This workshop seeks to address critical questions: How can blockchain and AI models synergize to foster transparency, security, and fairness in financial systems? How can large generative models augment DeFi protocols, risk management, and automated financial advisory services? What strategies and frameworks can effectively mitigate security vulnerabilities, privacy concerns, and regulatory complexities within blockchain-based financial systems?

This workshop invites original research, case studies, and reviews at the intersection of blockchain, AI, large models, DeFi, fintech, and Web 3.0. Key themes include (but are not limited to):

• A. Blockchain-Enhanced Financial Intelligence

  - Blockchain-based frameworks for transparent and secure financial data management

  - Smart contracts for automated financial risk governance

  - Tokenization strategies in financial services and market securities

  - Decentralized governance and regulation of financial data and AI model deployment

  - Digital payment infrastructures and blockchain instruments (central bank digital currencies, stablecoins, cryptocurrencies, etc.)

• B. Decentralized Finance (DeFi) and AI Integration

  - AI-driven analytics for DeFi protocols and smart contract optimization

  - Federated learning and blockchain for privacy-preserving financial model training

  - AI-supported decentralized prediction markets and derivatives trading

  - Applications of AI in research for all areas of financial economics—such as asset pricing, corporate finance, and the study of financial intermediaries

• C. Security, Trust, and Privacy in Blockchain Finance

  - Auditable financial AI systems using blockchain-based provenance tracking

  - Anomaly detection and mitigation of adversarial threats in decentralized financial networks

  - Decentralized identity verification and reputation systems for secure financial interactions

  - Privacy-preserving transaction mechanisms and compliance in blockchain finance

• D. Data Governance

  - Data fusion techniques for integrating heterogeneous financial data

  - Assessment and enhancement of financial data quality

  - Distributed storage solutions for blockchain financial data

  - Data mining and preprocessing methodologies tailored for blockchain finance

• E. Ethical, Legal, and Regulatory Considerations

  - Algorithmic fairness and bias detection in blockchain and AI-driven financial solutions

  - Compliance and regulatory frameworks for decentralized financial technologies

  - Ethical implications of automated and AI-powered financial decision-making

  - Sustainability and environmental impact of blockchain and AI in fintech

  - The impact of blockchain technology on the and financial markets and the associated regulatory issues, including data privacy, algorithmic discrimination, social equity, and digital inclusion, etc.

• F. Practical Industry Applications

  - AI-enhanced credit scoring and decentralized lending platforms

  - Blockchain-supported fraud detection and prevention systems

  - Automated investment management leveraging blockchain transparency and AI analytics

  - Real-world case studies of blockchain integration in insurance, banking, and trading

Submission Guidelines

All submissions must be in English and in PDF format. Submissions that do not comply with the above instructions will be desk rejected without review. Please use the Springer proceeding template. All accepted papers will be published by Springer and will be indexed by EI Compendex.

Submissions to the BFI 2025 workshop that meet the above requirements can be made via the submission site EasyChair by the submission deadline.

Distinguished papers presented at the conference, after further revision, will be published in the journal of Blockchain: Research and Applications. (Impact Factor 6.9, CiteScore 11.3)

Important Dates

• Full paper submissions: June 09, 2025 (GMT+8)
• Notification to authors: July 04, 2025 (GMT+8)
• Camera-ready copy due: TBC

Organization Chairs

• Dr. Guanjie Cheng, Zhejiang University
• Dr. Shangrong Jiang, The University of Hong Kong
• Dr. Junqin Huang, Shanghai Jiao Tong University