Blockchain x AI: Challenges and Opportunities 区块链与人工智能：挑战与机遇 (MBA553)

MBA553 Blockchain × AI: Challenges and Opportunities critically examines the synergies between blockchain technology and artificial intelligence, i.e., the Blockchain × AI domain. It aims to provide students with a comprehensive understanding of both fields, their unique features, and the challenges and opportunities in the convergence of both technologies. It offers insights into how blockchain’s immutability can accelerate AI development and adoption through tokenisation, nonfungible tokens, and token economy design. In addition, it examines existing AI algorithms and explores how they can be used to enhance security, efficiency, user experience, and risk management on blockchain networks and applications. Moreover, the course stimulates critical thinking about the security, privacy, and ethical challenges that may arise due to such integration, as well as its societal impact. Upon completion of the course, students will learn how to leverage the synergy between both technologies to solve complex problems and drive responsible innovation across various industries through a blend of theoretical knowledge, practical applications, and case studies. MBA553区块链与人工智能：挑战与机遇课程深入探讨区块链与人工智能两大前沿技术的融合与协同效应，帮助学生全面理解各个技术的独特特征及其融合过程中所面临的挑战与机遇。课程提供对区块链不可篡改性的分析，探讨其如何通过代币化、非同质化代币（NFT）及代币经济设计，加速AI的开发与应用；同时分析现有AI算法在提升区块链网络与应用安全性、效率、用户体验及风险管理方面的潜力。此外，课程也将引导学生思考此类技术整合可能引发的安全、隐私与伦理问题及其社会影响。通过理论学习、实践应用与案例分析的结合，学生将掌握在不同行业中利用两者协同效应解决复杂问题并推动负责任创新的方法。

• Blockchain Architecture and the Peer-to-Peer Network 区块链架构与点对点网络
• Distributed Consensus Algorithms: Security and Efficiency 分布式共识算法：安全性与效率
• Token Economy and Blockchain Design Thinking 代币经济与区块链设计思维
• Machine Learning and Deep Learning: Theory and Application 机器学习与深度学习：理论与应用
• Natural Language Processing (NLP) and Large Language Model (LLM) 自然语言处理与大型语言模型
• Generative AI 生成式人工智能
• Smart Contracts, Non-Fungible Tokens (NFT), and Artificial Intelligence 智能合约、NFT与人工智能
• Decentralised Physical Infrastructure Network (DePIN) and Storage 去中心化实体基础设施网络与存储
• Decentralised Compute Network 去中心化计算网络
• Decentralised Inference Network 去中心化推理网络
• Autonomous AI Agents on Blockchain 区块链上的自主AI智能体
• Security, Privacy, and Ethical Considerations 安全性、隐私与伦理考量

• Appraise the role of blockchain and its components in advancing AI development and adoption. 评估区块链及其组成要素在推动AI发展与应用中的作用。
• Critique the usage of AI algorithms in enhancing blockchain applications’ security, efficiency, user experience, and risk management. 批判性分析AI算法在提升区块链应用的安全性、效率、用户体验与风险管理方面的作用。
• Assess the soundness of Blockchain × AI projects across various industries. 评估区块链×人工智能项目在不同行业中的可行性与稳健性。
• Formulate a framework to assess the token economy design of existing Blockchain × AI projects. 构建分析框架，以评估现有区块链×AI项目的代币经济设计。
• Evaluate privacy and ethical concerns in Blockchain × AI implementations. 评估区块链×人工智能应用中的隐私与伦理问题。
• Construct socially impactful, innovative, and sustainable Blockchain × AI solutions. 构建具有社会影响力、创新性与可持续性的区块链×AI解决方案。