North Carolina's first student AI competition showed what's possible when K-12 students are trusted with real community problems. Hear from the NC DPI leaders who built it.

Most schools start their AI conversation with "Does this tool work?" Educator and philosopher Priten Shah argues that's the wrong first question. In this episode, Priten shares a bioethics-based framework for ethical decision-making in K-12 and makes the case that classroom teachers, not district admins, are the most consequential AI decision-makers in any school

Think rural districts are "behind" on AI? Think again. Wyoming’s tech leader Steven Priest reveals how small schools are using high-trust, low-bureaucracy environments to lead the nation in AI adoption.

Scott Kern, a veteran historian turned AP US History teacher at North Star Academy, didn't enter the AI space for efficiency alone. Instead, he sought to solve the "great sadness" of the profession: the inability to be everywhere at once for thirty unique learners. By developing custom feedback bots that mirror his instructional voice, Scott scaled his presence, resulting in a career-high pass rate on the AP exam.

Ivanna Gutierrez joins the show to discuss the critical transition from being a consumer of technology to a creator, emphasizing AI literacy as a fundamental requirement for modern equity. Drawing on her experience in both IT consulting and the classroom, she shares how she guides students to use generative AI for problem-solving while maintaining the logical rigor needed for long-term success.

Babak Mostaghimi joins Kinwise to discuss the "Three Horizons" of innovation and why K-12 leaders must prioritize pro-human AI over mere system efficiency.