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