Edward Y. Chang

Edward Y. Chang is a pioneer of AGI and the author of the first book-length roadmap built on multi-LLM agent collaboration, a 17-chapter volume proposing an 8-pillar framework. His framework encompasses semantic anchoring, reasoning, planning, validation, memory management, ethical alignment, and collaborative intelligence—the most comprehensive architectural proposal for AGI to date. The book, Multi-LLM Agent Collaborative Intelligence: The Path to Artificial General Intelligence, was published in March 2024 and revised in June 2025. He will serve as co-Editor-in-Chief of ACM Books starting in December 2025 and is currently an adjunct professor of Computer Science at Stanford University. From 2012-2021 he was President of HTC Healthcare. From 2006-2012 he was a Director of Research at Google, leading work in scalable machine learning, web-scale image annotation, and data-centric AI, and he sponsored the ImageNet project. Earlier he was a tenured faculty member in ECE at UC Santa Barbara and a visiting professor at UC Berkeley. He received an MS in IEOR from UC Berkeley, an M.S. in Computer Science and a Ph.D. in Electrical Engineering from Stanford. He is an ACM Fellow and an IEEE Fellow for his contributions in parallel machine learning and healthcare AI. Honors include the NSF CAREER Award, Google Innovation Award, ACM SIGMM Test of Time Award, and a US$1M XPRIZE for AI-driven diagnosis. His current endeavors include advising startups to launch AGI applications and developing breakthrough methods for artificial superintelligence (ASI).