AI for U is a higher-ed focused interview show where Brian Piper helps institutional leaders think through real AI adoption—governance, workflows, student impact, and organizational change. It’s especially valuable for guests who can translate AI strategy into practical higher-ed implementation and responsible use.
58 episodes, Biweekly, 5.0 rating
<1k, Neutral, USA
AI for U is the go-to podcast for higher ed professionals looking to integrate AI into their daily work. Each episode features interviews with industry leaders, providing insights on implementing and leveraging AI to streamline processes, enhance student experiences, and drive institutional success. Join host Brian Piper every other Thursday for fresh, empowering content that keeps you at the forefront of AI in higher education.
Technology, Education, Business, Society & Culture
Typical Credentials:
Higher-ed AI practitioners or thought leaders: senior academic leaders (faculty chairs, research/AI center directors), senior advisors at major universities, or experienced industry operators in edtech/AI-enabled services (e.g., marketing/ops leaders) who can speak to governance, implementation, and institutional change.
Required Achievements:
Leadership role in AI-related centers, departments, or advisory positions in higher education, Public recognition in data/AI leadership media or awards (when available), Demonstrated practical implementation experience translating AI into workflow/process change
Dr. Manjeet Rege - Operational AI Strategy For Institutions, Moving From Pilots To Production, Budgeting, Data Stewardship, Governance Frameworks, Build Vs. Buy Decisions, Paul LeBlanc - Preparing Graduates For Ai-assisted Work, Character Formation/care Economy, Future-of-work Theory, Leadership Guardrails, Preserving Human Relationships Via AI, Erin Fields - AI For Strategic Orientation Vs. Efficiency, Human-in-the-loop Judgment, Governance To Prevent Shadow AI, Maintaining Brand Voice With Ai-assisted Content
Higher Education, Artificial Intelligence, Data Governance, Ai Strategy, Ethics, Workforce Development, Student Experience, Change Management, Policy, Technology Adoption