How to use AI as a team member (not just a tool) with Kathryn Jablokow (#341)

What if AI could think more like a human - and what would that mean for education, teams, and leadership?
In this episode, Ben and Steve sit down with Kathryn Jablokow, Dean of Engineering at Manhattan University, to explore one of the most fascinating ideas in AI right now: cognitive diversity. With 34 years in engineering education and groundbreaking research into how AI agents can mimic different thinking styles, Kathryn brings a perspective you won't hear anywhere else.

We cover:
- Why AI struggles to find what you actually want
- Adaption-Innovation Theory and what it means for AI development
- Using AI as a genuine team member not just a productivity tool
- What engineering education needs to look like post-ChatGPT
- Why understanding how your team thinks is the real unlock for AI
- The problem with how schools teach teamwork (and why exams are part of the problem)

Whether you're a school leader, educator, or just someone trying to make sense of where AI is heading - this one's for you.

Chapters
00:00 Introductions
01:21 Kathryn Jablokow's Journey in Engineering Education
06:38 Transforming Engineering Education at Manhattan University
13:04 AI's Role in Education and Engineering
20:06 Integrating AI as a Team Member
24:09 The Future of AI in Education
30:42 Navigating Disagreement in AI Development
32:15 The Human Element in AI Interaction
34:11 Cultural Perspectives on AI and Robotics
36:33 Data Privacy and Environmental Concerns
38:32 Job Displacement and Creation in the Age of AI
43:28 Preparing Future Generations for an Evolving Job Market
47:26 Mental Well-Being and Critical Thinking in Education

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