The Agentic AI Summit 2026, taking place on August 1-2 at UC Berkeley, is set to be the largest event focused on Agentic AI, attracting over 5,000 in-person attendees and hundreds of thousands online. Last year’s summit featured more than 2,000 participants on-site, highlighting the growing interest in the field. The event will address all facets of the AI stack, including infrastructure, foundation models, and applications across various sectors such as healthcare and finance. Dawn Song, an AI2050 Senior Fellow known for her work on AI assurance and secure agent development, is pivotal in leading research efforts associated with the summit.
Dawn Song: Dawn Song is a Professor of Computer Science at UC Berkeley and co-director of the Berkeley Center for Responsible Decentralized Intelligence. Her research focuses on AI safety, security, and agentic systems, including tools for red-teaming and validating AI agents. She is actively organizing and promoting the Agentic AI Summit 2026 at UC Berkeley as a key platform for advancing the field.
Event Scope: The summit covers the full AI stack including infrastructure, foundation models, agent frameworks, evaluation, and applications across science, finance, and healthcare.
Research Leadership: Dawn Song serves as an AI2050 Senior Fellow advancing projects on AI assurance and secure agent development.
