Module 3: The Policy in Practice¶
Module 3 of 7
What You Will Be Able to Do¶
- Find what the policy says on the questions that come up most, and where it says it.
- Explain why its main expectations work in your favor.
- Know where to take a question or a concern.
The Core Idea¶
The Three-Minute Version
The American University of Antigua encourages artificial intelligence (AI) use where it helps you do your work. The AI Responsible Use Policy is the one reference for how, and it is short enough to read in a sitting. This module is a guide to it rather than a substitute: it points to the parts that come up most, and explains why each one is worth doing for your own sake.
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Check before you rely on it. Models write fluent errors and cite papers that do not exist, which is why the policy asks you to verify AI output and to check references at their source (Responsible Use, section B). A fabricated citation is quick to catch at your desk and much harder to explain once a reviewer or an examiner finds it. The same section asks that course materials and the established literature stay the main source for foundational knowledge: they are what an AI explanation can be checked against, and for students they are what exams are written from, so an AI earns its place as a study partner for them rather than a replacement.
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Stand behind the result. The policy keeps accountability with people, not tools (Responsible Use, section A). That is what makes wide use workable, and it is why your own judgment is the part worth building: a tool can draft, but only you can stand behind what goes out under your name.
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Say where AI helped. The policy asks for AI contributions to be acknowledged according to academic standards and your course or department's guidelines (Responsible Use, section B). A sentence of acknowledgment costs little and saves readers from guessing; your syllabus or department says how.
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Think about where information goes. Public AI tools may keep what you type, train on it, or pass it on, which is why the policy's privacy section (Responsible Use, section C) names the kinds of information it covers, such as patient information and student records. Many tasks do not need identifying details at all: for differential practice, a case reduced to an age band and a presentation pattern keeps the exercise on the pattern you are learning. There is no approved list for everyday tools (General Guidelines, section B); the tools directory shows each tool's status and notes, and How Tools Are Reviewed explains what a review covers.
Four habits, and what each one gives you back
Check it
errors caught by you, not by a reader
Stand behind it
your judgment is what grows
Say where AI helped
readers do not have to guess
Leave identifiers out
the exercise stays on the pattern
If something goes wrong, such as a tool producing harmful or discriminatory output, or information reaching somewhere it should not, the AI Committee page gives the contact. Raising it early is how a problem gets fixed for everyone, and the policy protects anyone who reports in good faith.
Self-Check¶
A classmate asks you to run their case write-up through a chatbot for feedback. What would make that go well?
Take the patient details out first: feedback on the reasoning and the writing does not need them. And check that your classmate is happy for their draft to go into a tool, since it is their work.
You lightly edited a chatbot's draft paragraph for a committee report. What would help you stand behind it?
Checking its facts against the sources, saying where AI contributed in the way the report's readers would expect, and reading it as the final text you are putting your name to. Light editing does not move the responsibility to the tool.
A tool in the directory is marked Listed. Does that mean the university has vetted it?
No. Listed means the tool is relevant and live, and nothing more. The directory's notes help you judge it; if a task involves information the policy's privacy section covers, How Tools Are Reviewed explains what a review can clear.
Going Deeper¶
Color key: GuideGovernance
- AI Responsible Use Policy The full text, and the reference for everything above.
- How Tools Are Reviewed What the directory's status badges mean and how they are assigned.
- Your Syllabus AI Statement For faculty, setting course-level expectations for AI use.
- For Students AI for study, stage by stage.
Content last reviewed September 26, 2026. Review dates are maintained as described on the About page.