Most AI tools are dropped into classrooms, but Digimente IA was built with teachers. Partnering with education ministries in Mexico and Argentina, we surveyed 5,000+ educators to tackle their biggest hurdles: lesson planning, adapting for mixed abilities, and navigating strict curriculums. The result is an AI assistant, fine-tuned on official frameworks, that puts human knowledge first. Before generating anything, Digimente IA asks about your specific students and school context—you provide the insight, and the AI handles the labor. In this hands-on workshop (no prior AI experience needed!), you will explore our co-design process, test the tool's core interactions, and work through an authentic case study from a rural school in Hidalgo, Mexico. We will also share candid lessons from our beta on why capturing classroom context is harder than it looks.

As AI masters coding and content creation, high school students are left wondering: If AI can generate the answer, what proves me? "Proof to AI" (P2AI) was born when founder Shuai Yuan observed that while exceptional Stanford Math Circle students could solve complex problems, they often struggled to identify meaningful ones. Partnering with alumni Cyrus, she designed a framework to shift students from solvers to finders. Instead of competing with AI, students use it as a creative collaborator to develop what AI cannot replace: curiosity, judgment, and initiative. In this session, Cyrus will demonstrate building AI exploration agents, and students will showcase real projects like "Path Founder AI." Following successful launches in Beijing and Shanghai, P2AI is expanding across the U.S. this fall. Walk away with a replicable toolkit to launch your own chapter and empower students to bring the proof.

As AI reshapes the workforce and entry-level jobs shrink, AI proficiency is essential for economic mobility. Yet, underserved public schools—particularly in NYC, where 80% of students identify as Black or Brown—are slow to adopt meaningful AI education, risking widened opportunity gaps. In this session, educator Addy Salau shares insights from the Relevant Futures AI Discovery Lab, a six-session pilot for 20 freshman girls at Bedford Academy in Crown Heights. Learn how these students unpacked AI concepts, engaged in civic debates about its impact, and leveraged AI tools to design social impact projects rooted in their own passions. Discover why expanding AI access isn't just about technology adoption—it is a critical push to ensure imagination, creativity, and future economic mobility remain accessible to all students.

This session answers the question: How might we integrate AI in K-8 learning environments in a way that follows legal requirements and global standards, works within realistic resources and budget constraints, and prepares students for their future success? As schools integrate generative AI, immediate student access to Large Language Models can introduce compliance and pedagogical risks. This session offers The Cantilever Framework™, a plug-and-play model adaptable to K-8 school contexts globally. By building an AI literacy foundation early, schools can create a safe, thoughtful, and human-first culture around the technology.

The Cantilever Framework™ centers around:

• Legal requirements and global standards
• Staff professional development strategies
• Family partnership initiatives
• Student resources for age-based curricula

Attendees will leave with a roadmap for a K-8 AI literacy strategy that places the importance of humans first so that when students receive authorized access to these tools or encounter them outside of school, they are prepared to use them safely and critically.

AI can write your students' essays, generate their code, and produce their art. So what's left for the humans? Everything that matters.

In this talk, I'll explore what it looks like to teach with AI rather than against it, drawing on real classroom experiences from both English and computer science. You'll see how students can use AI as a creative collaborator without surrendering the thinking that makes their work their own, and you'll leave with practical strategies for designing assignments where AI raises the ceiling instead of lowering the floor.

We'll tackle the questions keeping educators up at night: When does AI help students learn, and when does it just help them finish? How do we teach ownership in an age of infinite generation? And how do we stay honest about what we don't yet know? Come and experience a teacher's-eye view of what's working, what isn't, and what comes next.

The real promise of this moment focused on AI in education isn't about the technology. It is a chance to refocus on what has always mattered most including designing learning environments grounded in the science of learning, strengthening the skills that students will need long after the tools have changed, and prioritizing relationships and human connection that an algorithm cannot replace. This is our opportunity to look past the hype cycle and ask how we build classrooms where AI becomes one more resource in the service of something far bigger.

On New Year’s Eve 2025, Luo Zhenyu featured MarsNavi on China’s most-watched broadcast to over 45 million viewers. He showcased 34 video covers created by our 8–14-year-old students, proving that children learn AI best by delivering real work. At MarsNavi, a Beijing-based studio, students spend 6–15 sessions shipping user-tested AI products—from family-conflict mediators to elderly-companion agents. Since our 2024 MVP, we have guided 100+ children to deliver 20+ functional AI tools, analyzing over 10 million characters of classroom transcripts to build our L1–L5 progression and Seven-Step method. In this session, we will unpack four case studies, explore our identified "failure modes," and get honest about the limits of what we still don't know. We are here to share our work-in-progress with the educators and innovators most equipped to give us meaningful, constructive pushback.

This lesson engages students in the potential costs and benefits of using AI for real-world problems, perspective-taking and empathy building, and using critical thinking to analyze their decisions based on new information. After participating in the lesson, educators will discuss pedagogical practices for supporting students in debating real-world issues. Educators will walk away with free lesson resources, tools to support students’ engagement in productive debates about AI, and access to the Tech’s online AI education resources.

Educators face complex classrooms with diverse neurodivergent and 2e learner needs—but evidence-based strategies rarely translate into real-time practice. This session explores how AI can close that gap by turning research into actionable, in-the-moment guidance.

Drawing on a collaboration between CHC, REEL, and an experienced educator/administrator, we'll apply strengths-based, neurodiversity-affirming frameworks. Using *Ellis*—a research-informed, chat-based AI thought partner—as a case example, we'll highlight four design principles:

• Translating evidence into contextual, decision-ready guidance
• Embedding strengths-based and neurodiversity-affirming approaches
• Supporting educator cognition and decision-making under time constraints
• Preserving human judgment and professional autonomy in AI-supported environments.

This session encourages people to, at least temporarily, "drop in" in their AI-ing. We're all using these tools and most of us have a healthy skepticism. But, there's something important and valuable about how we do things when we're not hesitating. You'd be exploring this idea and leave as a more confident practitioner of AI. Think — I'm taking a ski/tennis/rock-climbing lesson with a pro, but it's actually AI.

In the session, we'll explore what the least hesitant AI-ers are doing in education and in software development, and work to remove some of our own hesitation through naming it, solving for it, and understanding a few concepts about what "AI" really is, so that we can lean into it when that that's the first thing to do.

NotebookLM has become a popular tool for students and teachers. We commonly hear that both groups like NotebookLM because it supports the student without doing the work for them. We'll look at some of the ways that teachers and students use NotebookLM and what that may suggest about how AI can support learning and learners.

As AI tools become increasingly accessible, the most important classroom shift is not choosing the right tool, but helping students develop the durable skills needed for future human flourishing. Whether students are actively using AI or simply living in a world shaped by it, they need opportunities to build trust, practice transparency, and strengthen their thinking.

This workshop session explores practical AI-integrated classroom routines that help students understand how AI works, engage with it honestly, and remain active participants in the learning process. Participants will examine routines that promote transparency around AI use, foster trust between students and teachers, and encourage critical thinking, metacognitive reflection, evaluation of outputs, and thoughtful decision-making over time. Rather than focusing solely on what AI can do, this workshop centers on the classroom structures and habits that help students grow in agency, discernment, and wisdom.

Why do brilliant students endure grueling two-hour commutes to our North London specialist math school when AI could easily help them ace their exams from home? The answer lies in the community of fellow "math geeks" and our unique teaching philosophy. While AI might be a faster mathematician, it cannot replace the thrill of collaborative discovery. We use AI tools not to spoon-feed answers, but to create rich learning experiences where students uncover concepts as if they were inventing the math themselves under the tutelage of Newton or Pythagoras. In this session, I will showcase 5 to 10 lessons—like framing hyperbolics as regular trigonometry with imaginary angles—demonstrating how to teach meaningfully beyond the standard curriculum and keep human curiosity at the center of a high-tech classroom.