This episode explores how AI can reshape education, from personalized learning and rapid skill development to transforming the role of traditional credentials.

About the Episode:

Education is standing at a crossroads — and AI could be the biggest force shaping its future. In this episode, we explore how AI can move beyond simply digitizing the classroom to creating truly adaptive, personalized learning experiences. From helping students with disabilities overcome barriers to enabling rapid skill acquisition for an evolving job market, the potential impact is enormous.

We dive into the idea of shifting from search engines to recommendation engines in education, where AI doesn’t just provide information but actively matches students with the most relevant institutions, programs, and skills. We also examine the tension between traditional credentials and competency-based learning, and how AI could accelerate the shift.

Ultimately, this conversation is about more than just technology — it’s about integrating AI in a way that amplifies human values, strengthens essential human skills, and makes education more accessible, efficient, and relevant for the future.

About The Guest:

Ben Tasker is at the forefront of AI-driven education, shaping the future of skills-based learning as the Associate Dean of AI at one of the nation’s leading universities. With a unique blend of experience as a data scientist, AI product leader, and educator, Ben brings deep insight into how artificial intelligence is transforming education, workforce development, and the broader future of learning. During his time at Maine Health, Ben developed an AI system that identified 20% more at-risk cancer patients, significantly improving early detection and outcomes. He also automated critical reporting processes and introduced industry-standard coding practices - demonstrating how AI can be a force for social good, not just efficiency. Ben’s work spans multiple sectors, including healthcare and government, where he’s explored how AI can reduce wait times, address service backlogs, and enhance decision-making. His passion lies in applying AI to personalized applications.