Artificial intelligence and automation
AI-assisted grading: what it can and cannot do
A clear guide to automated assessment, evidence, human review and the boundaries of judgment.
Start with the rubric
The system can apply explicit criteria more consistently than vague ideas such as originality or depth.
Keep evidence visible
Every suggested outcome should point to the relevant part of the submission so a reviewer can verify it.
Design human review
Borderline, ambiguous and high-impact cases must move to an authorized reviewer.
Pilot before scale
Test representative work, measure agreement and appeals, then expand only after an approved result.