How Blockchain Can Enable Better and More Ethical AI

Overview

Explore how blockchain technology can enhance AI development by providing transparency, traceability, and ethical safeguards against misuse like deepfakes and biased training models.

Syllabus

• Introduction to Blockchain and AI
Overview of blockchain technology
Fundamentals of artificial intelligence
Synergies between blockchain and AI
• Blockchain Basics
Key concepts: decentralization, immutability, and consensus mechanisms
Understanding smart contracts and decentralized applications (dApps)
• Ethical Concerns in AI
Common ethical issues in AI: bias, privacy, and misuse
Case studies on AI ethical challenges (e.g., deepfakes)
• How Blockchain Enhances AI Transparency
Role of blockchain in data provenance and auditability
Strategies for accountable AI decision-making
• Blockchain for Traceability in AI Models
Using blockchain to track data sources and model lineage
Preventing model tampering and ensuring integrity
• Blockchain as a Safeguard Against Misuse
Addressing deepfake technology challenges
Mitigating biases in AI through decentralized governance
• Implementing Ethical AI with Blockchain
Frameworks for building ethical AI models using blockchain
Best practices for ethical AI deployment
• Case Studies and Real-World Applications
Examples of blockchain-enabled AI solutions
Analysis of successful implementations
• Challenges and Future Directions
Technical and operational challenges
Future trends in blockchain and AI integration
• Conclusion and Review
Summary of key learnings
Discussion on the future of ethical AI development with blockchain technology
• Final Project/Assessment
Designing a blockchain-based solution to address a specific AI ethical concern

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Subjects

Data Science