In this episode, Justin Wales, Chief Legal Officer for Crypto.com makes a second visit to the podcast. This time around, he discusses his new book, The AI Legal Handbook, the emerging regulatory landscape, liability frameworks, and practical applications of artificial intelligence. Justin outlines how attorneys and regulators should approach modern AI models, the mechanics behind AI, and the effect of generative AI on legal education. The discussion covers key regulatory principles, the balance between strict liability and negligence frameworks, copyright issues in machine learning training, and the governance challenges of artificial general intelligence (AGI).
Transitioning from cryptocurrency regulation to developing a unified framework for artificial intelligence law
The importance of legal professionals understanding underlying model mechanics and token prediction to evaluate hallucination risks
Generative AI's disruption of law school assessments and the pedagogical shift from written assignments to oral examinations
The convergence of cryptocurrency rails, agentic AI systems, and decentralized compute infrastructure
Foundational principles for AI regulation, emphasizing proportional oversight, human-centered accountability, and transparency over outright bans
Managing the "black box problem" and balancing algorithm explainability with technical efficiency
Comparative analysis of sector-specific guidelines versus federal mandates and the adaptability of existing rules of professional conduct
Evaluating legal liability standards: applying negligence versus strict liability to autonomous vehicles, healthcare diagnostic tools, and AI chatbots
Intellectual property considerations, fair use, and style mimicry in generative model training data
Preparing legal, economic, and governance frameworks for artificial general intelligence (AGI)
Where to buy The AI Legal Handbook: JustinWales.com or Amazon.
Editing and Production: Grant Blackstock
Theme Music: Home Base (Instrumental Version) by TA2MI