AI+Education Summit 2026: Blueprints for a Global Human-Centered Learning System

Quick Overview

The 2026 AI+Education Summit Fireside Chat, featuring Miriam Rivera, Wendy Kopp, and moderated by Dan Schwartz, focused on blueprints for a global human-centered learning system, with discussions emphasizing the need for AI to support human creativity and collaboration rather than replacing foundational teaching and learning processes, particularly in underserved communities.

Key Points: The Fireside Chat focused on creating blueprints for a global, human-centered learning system, moderated by Stanford's Dan Schwartz. Miriam Rivera, CEO of Ulu Ventures, noted that AI's value lies in reducing the cost of coding and enabling people to create and solve problems, but cautioned against relying solely on AI. Wendy Kopp, CEO & Co-Founder of Teach For All, shared her organization's expansion into 63 countries, driven by the belief that people change systems, not just technology. Kopp highlighted the need for educators to be trained in using AI tools to foster skills like self-reflection and emotional management, rather than just factual recall. Dan Schwartz mentioned that the Stanford Accelerator for Learning is focusing on creating AI tools that support human endeavor, contrasting this with AI that merely reinforces existing content consumption patterns. Schwartz noted that many current AI applications focus on personalization but lack the necessary human-centered approach, which he believes Stanford is helping to address. The panelists agreed that AI should amplify human capabilities, such as creativity and collaboration, across diverse global educational contexts.

Context: This video captures a fireside chat from the 2026 AI+Education Summit, titled 'Blueprints for a Global Human-Centered Learning System.' The discussion featured Miriam Rivera (CEO, Co-Founder & Managing Director, Ulu Ventures), Wendy Kopp (CEO & Co-Founder, Teach For All), and was moderated by Dan Schwartz (L. James Quillen Dean and Professor of Educational Technology at Stanford GSE). The conversation centered on how Artificial Intelligence should be integrated into global education systems to support, rather than supplant, human-centered learning, especially concerning equity and teacher support.