BlockSys 2026 (International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems) is a CCF C conference held in Chengdu, China on 2026-07-29. The paper submission deadline is 2026-03-30. Acceptance notifications are sent on 2026-05-30.
The 8th International Conference on Blockchain, Artificial Intelligence, and Trustworthy Systems (BlockSys’2026) will be held in Chengdu, China. This prestigious event brings together leading researchers, industry professionals, and academics from around the globe to explore the latest advancements and applications in blockchain technology, artificial intelligence (AI), and trustworthy systems.
BlockSys’2026 aims to provide a comprehensive platform for discussing the integration and impact of these transformative technologies. The conference will feature a diverse range of topics, including blockchain protocols, AI algorithms, system security, privacy-preserving technologies, and trust management frameworks. Through keynote speeches, technical sessions, and panel discussions, participants will engage in in-depth exploration of how these technologies can drive innovation, enhance security, and address critical challenges in various domains.
Attendees will have the opportunity to share their research findings, exchange ideas with peers, and explore new collaborations in a dynamic and forward-thinking environment. We invite you to join us in Chengdu for BlockSys’2026 and contribute to shaping the future of technology and trustworthy systems.
We welcome contributions addressing a broad range of topics within the following key themes:
Blockchain Technology:
Advances in blockchain protocols and architectures
Smart contracts and decentralized applications
Security, privacy, scalability, and interoperability of blockchain systems
Blockchain integration with emerging technologies
Blockchain in supply chain and logistics
Blockchain for digital identity and authentication
Artificial Intelligence:
Advances in machine learning, deep learning, and AI algorithms
AI ethics, fairness, and transparency
Explainable AI and interpretability
AI in healthcare, finance, and industry
AI-driven data analysis and visualization
Reinforcement learning and robotics
AI applications in data analysis, decision-making, and automation
Synergies between AI and blockchain technologies
AI-driven innovations in trustworthy systems
Trustworthy Systems:
Techniques for enhancing system reliability and robustness
Privacy-preserving methods and trust management
Risk assessment and mitigation strategies
Compliance and regulatory issues
Frameworks for ensuring system trustworthiness
Ethical and societal impacts of technology
Policy and regulatory considerations
Cross-disciplinary Research:
Integration of blockchain and AI for improved security and reliability
Innovative solutions at the nexus of blockchain, AI, and trustworthy systems
Case studies showcasing successful applications and challenges
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