Generative AI and Blockchain

INSEAD via Coursera

Go to Course: https://www.coursera.org/learn/generative-ai-and-blockchain

Syllabus

AI in a Web3 World

In Module 1, you will be introduced to the concept of Web3, the next era of the internet, and how it builds upon previous eras of the Web. You'll learn how Web3 aims to cultivate a more open, transparent, and decentralized online experience, leveraging blockchain to empower users with control over their digital assets, data, and identities. You will also learn about decentralization across three primary levels: value, infrastructure, and organizations. We'll discuss how decentralization returns power and control to users, enabling them to own and manage their data and assets, actively participate in governance processes, and benefit from more resilient and accessible online services. We will then focus on the intersection of blockchain and AI, examining the six layers of the Web3-AI ecosystem: decentralized infrastructure, data fabric, foundation models, domain-specific models, smart contracts, and applications. Finally, we will look at both the opportunities and challenges that arise when AI and blockchain intersect in a Web3 world.

Generative AI and Blockchain

In this module, you will learn how blockchain and generative AI can work together to improve each other and create innovative solutions across various industries. We will first examine how blockchain can enhance generative AI by providing a secure and transparent infrastructure for data integrity and provenance, enabling trusted federated learning, and improving AI decision-making. Then, you will explore how generative AI can, in turn, enhance blockchain technology by automating smart contract creation, personalizing decentralized applications while respecting user privacy, generating unique digital assets like NFTs, optimizing blockchain networks, and simplifying blockchain interactions for users. Finally, we will consider real-world examples of this synergy in sectors like arts and media, real estate, gaming, risk assessment, and supply chain management.

Beyond Generative AI

In this module, you will expand your knowledge of AI beyond generative AI to explore how the broader AI landscape intersects with blockchain in a Web3 world. We will first consider "Agentic AI," which describes AI systems designed to autonomously pursue complex goals and workflows with limited direct human supervision. You will learn how blockchain can enhance the security and trustworthiness of these AI agents. Next, we will examine how AI can be used to facilitate and improve operations and decision-making in Decentralized Autonomous Organizations (DAOs), and the importance of balancing AI capabilities with human input in decentralized governance. We will also discuss some of the ethical considerations and challenges associated with AI and blockchain. Finally, you will learn how AI can be used to transform blockchain economics through AI-driven tokenomics and incentive structures.

Industry Applications and Case Studies

In this module, you will explore how the intersection of AI and blockchain can be used to transform various industries. In healthcare, you will learn how AI and blockchain can personalize medicine, streamline clinical trials, and improve drug development and healthcare operations. In arts and media, you will discover how blockchain can be used to verify the authenticity of digital content, ensure fair compensation for creators, and create new interactive experiences. Next, we will examine global commerce and explore how AI and blockchain can streamline cross-border payments, customs clearance, and logistics, as well as enhance ESG tracking and transparency. Finally, we will look at the energy and sustainability sector, where you will learn how AI and blockchain are being used to create decentralized energy markets, optimize grid resilience, and encourage energy efficiency.