eventConference
AI+Education Summit 2026
ConferenceFeb 11, 20268:00 AM - 5:00 PM
February
11
2026
The AI Inflection Point: What, How, and Why We Learn
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The AI Inflection Point: What, How, and Why We Learn
How did we get to today’s technology which now supports a trillion dollar AI industry? What were the key scientific breakthroughs? What were the surprises and dead-ends along the way...
How did we get to today’s technology which now supports a trillion dollar AI industry? What were the key scientific breakthroughs? What were the surprises and dead-ends along the way...
The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.
The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.
Stanford HAI staff will welcome congressional staffers to campus and provide an overview of why the boot camp was created and what Stanford HAI hopes for participants to gain through the educational program.
User-centered design integrates techniques that consider the needs and abilities of end users, while also improving designs through iterative user testing. Community-centered design engages communities in the early stages of design through participatory techniques. Societally-centered design forecasts and mediates potential impacts on a societal level throughout a project. Successful Human-Centered AI requires the early engagement of multidisciplinary teams beyond technologists, including experts in design, the social sciences and humanities, and domains of interest such as medicine or law, as well as community members.
This session will cover the basic concepts of AI, including compute power, neural networks, narrow vs. general AI, gradient descent, and more. It will also provide a bird’s-eye view of the AI landscape, covering different AI techniques such as deep learning, computer vision, natural language processing, and supervised and unsupervised learning. Participants will walk away with a greater understanding of the primary aspects of AI and be better prepared for the boot camp.
Contemporary AI technologies run on data, but AI developers face significant obstacles in acquiring and cleaning data. In addition, developers must do their best to ensure data’s inherent biases (and their non-obvious proxies) are accounted for in their AI systems. Moreover, different social values around privacy, data ownership, and data creation impact what AI technologies are possible. This session will dive into how the data policies developed today will shape the technologies of tomorrow.
This session highlights how computational power directly influences the capabilities and efficiency of AI systems, impacting everything from machine learning model training times to the sophistication of AI applications. Policymakers are introduced to key concepts such as the high-performance computing chips, trade-offs between computational demands and energy consumption, and the strategic importance of compute in national competitiveness in AI.
The consequences of deploying robust AI and decision-making technologies in safety-critical systems such as driverless vehicles and autonomous aircraft are enormous. Challenges for AI developers range from biased inputs, constantly evolving conditions, and explainability issues, among others. This session will discuss the obstacles developers face as well as the difficult—and often politically fraught—decisions they make around operational efficiency and how they define acceptable risk parameters.
What if AI could act on our behalf to make our travel arrangements, order our prescription refills, or take care of a variety of other tedious daily tasks? AI agents represent the promise of AI to enhance productivity and reduce friction in our daily routines. Yet, this emerging capability also raises concerns around labor disruption, security vulnerabilities, and delegation of control. This session will examine how agentic AI works, how rapidly the technology is evolving, and what it might mean for the economy, the workforce, and society at large.
AI and automation will have a rippling effect on today’s workforce and the future of work. Mainstream narratives forecast AI will displace workers and funnel profits up to a select few. Alternatively, AI has the potential to augment and supercharge labor, ensuring the benefits of AI are spread and enjoyed widely. This session dives into deeper detail regarding what exactly we should expect as AI and automation integrate into the economy and the subsequent consequences for the workforce. The speakers will also discuss how policies can reshape and guide what the future holds.
