Who Should Decide AI's Future on Campus?
Learning with AI
Universities across the world are making decisions that will shape how artificial intelligence becomes part of teaching and learning. The challenge extends beyond selecting new technology. It requires leadership, institutional alignment, faculty engagement, and clear governance.
In this episode of Learning with AI, Gladys Mercier talks with Dr. Tim Herd, higher education researcher and governance expert, about how colleges and universities can develop thoughtful strategies for adoption while balancing innovation, trust, academic values, and institutional priorities.
Together they discuss:
• Why university governance plays a central role in AI adoption • How faculty, administrators, and governing boards contribute to institutional strategy
• Lessons from current initiatives across higher education
• Building trust between institutions and technology providers
• Creating campus-wide support while respecting the unique needs of different disciplines
• Preparing students for a future where AI is part of everyday work and learning Whether you're a faculty member, dean, provost, instructional designer, or higher education leader, this conversation offers practical perspectives for making informed decisions about AI across your institution.
Episode Overview
Artificial intelligence is rapidly becoming part of university life, but successful adoption depends on more than selecting new technologies. Institutions must make decisions about leadership, governance, trust, and how AI aligns with their educational mission.
In this episode of Learning with AI, host Gladys Mercier sits down with Dr. Tim J. Herd, higher education researcher, governance scholar, and organizational strategist, to explore how colleges and universities can develop thoughtful approaches to AI implementation.
Drawing from his research on university governing boards and his experience advising institutional leadership on scalable generative AI adoption, Dr. Herd discusses why AI should be viewed as an institutional strategy rather than simply a technology initiative.
Together, they explore governance, shared decision-making, faculty engagement, and the structures universities need to support meaningful AI adoption.
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