Preparing the Next Generation for AI
Why AI literacy is now a leadership priority, not just an education issue
AI is reshaping how we work, learn, and make decisions. But for leaders, the real question is not what AI can do. It is whether the next generation is prepared to use it responsibly, creatively, and critically. In this episode of The AI Talk Show, Asha Saxena speaks with Charlotte Dungan, Chief Learning Officer at the Mark Cuban Foundation, about how AI education must evolve to build agency, not dependency.
Drawing from nationwide AI boot camps and school partnerships across all 50 states, Charlotte outlines a practical framework for embedding AI into learning without sacrificing rigor or ethics. The focus moves beyond coding literacy to cultivating judgment, creativity, and ethical awareness. A key shift is from passive instruction to 80 percent active learning, where students design real-world projects across healthcare, sports, ecology, and computer science, compare large language models, and evaluate data quality and bias.
The conversation also highlights a new digital divide defined by AI agency rather than device access. Restricting AI without guidance leaves students unprepared. Structured pathways that include data privacy education, lateral reading to combat misinformation, and ethical review processes are essential. For executives, the message is clear: AI literacy is now a life skill, and the workforce of tomorrow is already forming its habits today.
You’ll learn:
- Why the new digital divide is about AI agency, not hardware access
- How an 80 percent active learning model builds real-world AI capability
- Practical ways to teach critical thinking through lateral reading and source validation
- How to embed ethics, data transparency, and responsible use into student projects
- Why collaboration among schools, industry, and community partners strengthens AI readiness
Featured Guest
Charlotte Dungan — Chief Learning Officer, Mark Cuban Foundation
Host
Asha Saxena — Founder and CEO, WLDA | The AI Factor Institute
Duration
Approximately 26 minutes
