Responsible AI Use
Using Artificial Intelligence (AI) responsibly means understanding how and when you can use AI tools in your studies or teaching, and clearly stating when and how you use them. It’s about supporting your learning and creativity while protecting academic integrity and ethical standards.
When used well, AI can help you think more broadly, organise your ideas, and improve your communication. AI should be a supporting tool, not a substitute for your own thinking or original work.
Use Generative AI at University Responsibly
At University, Generative AI (GenAI) can be a valuable productivity and learning tool — but only when used ethically, transparently, and within your subject’s rules.
1. Check Before You Use
- Not all assessments allow AI use. Rules vary between subjects and assessment types.
- Always read your Subject Outline and if unsure, confirm with your Learning Facilitator.
- Using AI without permission or disclosure may be academic misconduct, which may lead to penalties under the Student Academic Integrity Policy.
2. Acknowledge, Reference, and Document
- You must acknowledge how AI contributed to your work — even if you only used it for planning or brainstorming (see Acknowledging AI Use page)
- If AI-generated content appears in your submission, it must be referenced in the correct style (see Acknowledging AI Use page or visit the Referencing Tool ).
- Keep a record of your prompts and AI outputs in case you are asked to provide them (see Documenting AI page).
3. Keep It Ethical
- AI should support your learning, not replace your own thinking and writing.
- All facts and sources from AI must be verified using credible materials (see the Using AI Effectively page).
- Protect privacy — don’t share personal information or assessment details with AI tools.
Key Principles for AI Use
- Transparency — Always state if, when, and how you used AI tools in your work.
- Critical Thinking — Don’t just accept AI output. Check the facts, question the reasoning, and make sure the final work reflects your own understanding.
- Originality — Your work must demonstrate your own ideas, analysis, and understanding, even if AI supported you.
- Attribution — Credit the AI tools you used, following university guidelines.