5.4: What Is Not Ready Yet
- Page ID
- 69829
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Honest assessment means naming the limits. As of early 2026:
- AI grading of complex work. AI can give feedback on writing, but having it assign grades on substantive work stays problematic. It struggles with disciplinary nuance and the judgment calls that separate competent from excellent.
- AI detection. Tools claiming to detect AI-written work are unreliable, producing both false positives and false negatives. Using them for high-stakes integrity decisions is not advisable.
- Cultural sensitivity. AI tools often embed biases from training data, including urban, white, middle-class assumptions. Faculty have to review output for cultural fit.
- Emotional support. Chatbots can connect students to resources, but AI is not a substitute for human counseling. For complex issues, human judgment is essential.
- Replacement of hands-on training.


