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How do students negotiate acceptable generative AI use?

Live semantic model

A · Policy Uncertainty

Uncertainty about whether institutional rules permit generative AI use.

5 confirmed

Includes: Permission, rules, syllabus, or acceptable use is unknown

B · Trust in AI Output

Uncertainty about whether generated claims, citations, and answers are reliable.

5 confirmed

Includes: Accuracy, verification, citations, or factual reliability

Boundary review

A · Policy Uncertainty ↔ B · Trust in AI Output

1 / 10
relevance ≥ 0.55margin ≤ 0.12
Boundary · entangled meaningBoth · independent signalsTrue boundary cases rank before clear dual membership.

1E136
Boundary Agent proposed
“I am not sure whether ChatGPT counts as an acceptable academic source for modern history.”
A · Policy Uncertainty82%
B · Trust in AI Output78%
Confidence 96%Margin 0.04

Acceptability and reliability are entangled in the meaning of an academic source.

2E116
Boundary Agent proposed
“I am not sure whether ChatGPT counts as an acceptable academic source for algorithms.”
A · Policy Uncertainty81%
B · Trust in AI Output77%
Confidence 96%Margin 0.04

Acceptability and reliability are entangled in the meaning of an academic source.

3E156
Boundary Agent proposed
“I am not sure whether ChatGPT counts as an acceptable academic source for thermodynamics.”
A · Policy Uncertainty80%
B · Trust in AI Output76%
Confidence 96%Margin 0.04

Acceptability and reliability are entangled in the meaning of an academic source.

4E176
Boundary Agent proposed
“I am not sure whether ChatGPT counts as an acceptable academic source for research methods.”
A · Policy Uncertainty80%
B · Trust in AI Output76%
Confidence 96%Margin 0.04

Acceptability and reliability are entangled in the meaning of an academic source.

5E196
Boundary Agent proposed
“I am not sure whether ChatGPT counts as an acceptable academic source for microeconomics.”
A · Policy Uncertainty80%
B · Trust in AI Output76%
Confidence 96%Margin 0.04

Acceptability and reliability are entangled in the meaning of an academic source.

6E106
Both Agent proposed
“The lecturer never said whether we can use AI for weekly response, and I do not trust its factual suggestions.”
A · Policy Uncertainty91%
B · Trust in AI Output91%
Confidence 91%Margin 0.00

The excerpt contains separate evidence about permission and output reliability.

7E126
Both Agent proposed
“The lecturer never said whether we can use AI for group pitch, and I do not trust its factual suggestions.”
A · Policy Uncertainty91%
B · Trust in AI Output91%
Confidence 91%Margin 0.00

The excerpt contains separate evidence about permission and output reliability.

8E146
Both Agent proposed
“The lecturer never said whether we can use AI for lab report, and I do not trust its factual suggestions.”
A · Policy Uncertainty91%
B · Trust in AI Output91%
Confidence 91%Margin 0.00

The excerpt contains separate evidence about permission and output reliability.

9E166
Both Agent proposed
“The lecturer never said whether we can use AI for close reading, and I do not trust its factual suggestions.”
A · Policy Uncertainty91%
B · Trust in AI Output91%
Confidence 91%Margin 0.00

The excerpt contains separate evidence about permission and output reliability.

10E186
Both Agent proposed
“The lecturer never said whether we can use AI for studio rationale, and I do not trust its factual suggestions.”
A · Policy Uncertainty91%
B · Trust in AI Output91%
Confidence 91%Margin 0.00

The excerpt contains separate evidence about permission and output reliability.