Intentional governance: Responsibility, judgment, and leadership in the age of intelligent systems
While AI fundamentally changes how decisions are informed, it does not change who remains accountable for them
Artificial intelligence is changing the conditions under which institutional purpose is interpreted, pursued, and realized through the exercise of institutional judgment. As institutions increasingly adopt AI, discussions related to governance have expanded to include fairness, bias, transparency, explainability, privacy, accountability, and regulatory compliance.
Top Stories
Escaping the tech debt trap: Why governance matters more in the age of AI
Artificial intelligence is now emerging as a strategic priority across higher education, but many institutions are still determining how to move from experimentation to institution-wide adoption.
What “friction maxxing” teaches us about IT skill development in the age of AI
As AI adoption accelerates, a countertrend has emerged that reinforces the old saying: What goes around comes around. After spending years looking for ways to remove friction from everyday life, a growing number of people are embracing it by choosing to perform certain tasks without the assistance of AI and other forms of automation.
Building AI that teaches: Scaling learning systems
I’ve spent nine years building learning infrastructure, and during that time I’ve gone from staff engineer to founding member of our first AI engineering team. Along the way, I’ve come to believe that educational AI is a fundamentally different engineering discipline than the consumer AI most people read about.
Most states struggle to bring adult learners back to college
Most states still rely on fragmented, short-term initiatives to support adult learners rather than coordinated statewide strategies, according to new research from ReUp Education.
How should we evaluate professorial work?
College faculty are all aware of the three pillars of professorial work: instruction, scholarship, and service. Faculty are generally assessed on peer review publications, academic presentations, grants authored, and service on university and professional committees.
The case for centralized admissions in graduate medical education
Centralized application services transformed how students apply to medical school. They gave applicants a single point of entry, standardized how programs receive and review data, and provided comparable information institutions could actually use.
Nobody’s a loser: What genuine education leaders realize
My father, Jake M. Schrum, would take me with him to cattle shows and sales. As an impressionable teenager, I treasured these outings mostly to have one-on-one time with my dad, but also, to learn about Hereford cattle and how to judge them.
Beyond governance: Purpose, ethics, visibility, assurance, and compliance in the age of AI
Higher education continues to treat AI as just another technology to be deployed, managed, and governed. That assumption is increasingly inadequate. While AI bears some similarities to previous technologies, such as enabling automation and enhancing efficiency of processes, it is different in that it creates a continuously available capability for reasoning, synthesis, recommendation, interaction, and even collaboration.
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The Visual Edge: How High-Impact Technology Redefines Campus Differentiation and Enrollment Strategy
In the current higher education landscape, waning enrollment is still a present challenge. While overall enrollment numbers are showing signs of a rebound, National Student Clearinghouse Research Center data indicates that undergraduate enrollment has yet to fully return to pre-pandemic levels.