When a university committee at MIT recently reported that AI can produce credible solutions for nearly every written assignment in their undergraduate curriculum, it marked a profound–if unsurprising–shift for university teaching. The takeaway wasn’t just about policing tech tools; it was a wake-up call for institutional governance. Institutional governance which, historically, moves rather slowly. Now, the traditional, year-long committee gauntlet required to approve a new course or tweak a syllabus is no longer fast enough to keep pace with how quickly generative tools are evolving, or how quickly instruction, assessment, and learning is evolving.
As early-career faculty on the tenure track, HE professionals are expected to demonstrate instructional rigor and innovative course design, but aforementioned slow-moving curriculum governance makes timely updates difficult. Relying on AI detectors is increasingly recognized as a dead end, given high false-positive rates and documented bias against neurodivergent students and non-native English speakers.
To combat this challenge, many faculty are making a shift toward low-tech, high-touch pedagogy. For example, bringing early drafting back into the classroom with pen and paper, building multi-stage check-ins, and offering continuous, iterative feedback rather than banking on a single final essay.
These changes must happen in real time. Thus, academic departments must rethink governance to give faculty the autonomy to iterate and swap out obsolete assignments on the fly. For tenure-track educators balancing teaching loads with research demands, being granted the agility to adapt assessments without administrative gridlock will be essential in keeping undergraduate learning meaningful.
Source:
Spitalniak, L. (2026, August 26). AI can complete 'almost' all written assignments for MIT undergrads, report says. Higher Ed Dive. https://www.highereddive.com/news/ai-can-complete-almost-all-written-assignments-for-mit-undergrads...
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