
Source
Wonkhe
Summary
Kurt Barling argues that universities operate not only through formal policies but via tacit, institution-specific norms—corridor conversations, precedents, traditions—that generic AI cannot perceive or replicate. Deploying off-the-shelf AI tools risks flattening institutional uniqueness, eroding identity and agency. He suggests universities co-design AI tools that reflect their values, embed nuance, preserve institutional memory, and maintain human oversight. Efficiency must not come at the cost of hollowing out culture, or letting external systems dictate how universities function.
Key Points
- Universities depend heavily on tacit norms and culture—unwritten rules that guide decisions and practices.
- Generic AI, based on broad datasets, flattens nuance and treats institutions as interchangeable.
- If universities outsource decision-making to black-box systems, they risk losing identity and governance control.
- A distributed “human-assistive AI” approach is preferable: systems that suggest, preserve memory, and stay under human supervision.
- AI adoption must not sacrifice culture and belonging for efficiency; sector collaboration is needed to build tools aligned with institutional values.
Keywords
URL
https://wonkhe.com/blogs/generic-ai-cannot-capture-higher-educations-unwritten-rules/
Summary generated by ChatGPT 5