Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI
Artificial intelligence is not a new development, but recently, its use in classrooms has exploded–what are the implications and possibilities of AI in colleges and universities?
Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI
In the age of AI, governance is about ensuring that institutions remain capable of directing what intelligent systems are helping them become
Before students use AI, they should prove they don’t need it
Even when students use AI entirely within institutional rules, they still most likely bypass the struggle through which learning often occurs
Transparency appendices may be the next essential AI disclosure practice in higher education
For colleges and universities trying to move from anxiety about AI to durable policy and better pedagogy, the transparency appendix offers a practical middle path
The real work of AI and instructional technology is creative
As technical barriers fall, design, judgment, and imagination matter more
How smart campuses are turning efficiency into growth
Colleges and universities face growing pressure to balance rising expectations with aging infrastructure, constrained budgets, and evolving operational demands
Data centers, AI, and the next big campus debate
If AI is becoming part of every discipline, then access to advanced computing power is becoming part of educational equity
Beyond compliance: Governing higher education in the age of intelligent systems
As intelligence becomes increasingly abundant and continuously available, institutional governance must evolve accordingly
Reflections on Magnifica Humanitas for college and university instructors
Many in higher education may still be searching for their footing in the age of generative AI
Higher ed’s warning light is flashing: What the 2026 EDUCAUSE Horizon Report reveals
The report should be read as a leadership document, not just a technology report
The AI literacy paradox: Why students feel unprepared for the AI-driven workforce
