Joel Hron

This talk explores the evolution of AI assistants from being merely helpful to becoming productive agents capable of making judgments and decisions. It emphasizes that agency in AI is not a binary state but a spectrum that can be tuned based on use case, risk tolerance, and user expectations. The presentation highlights the challenges and lessons learned in building trustworthy AI systems for high-stakes professional environments, particularly within legal, tax, and global trade sectors.