Additional Resources & Acknowledgements
Generative AI Disclosure Tool
We strongly encourage you to use the AI Usage Label tool which is free to use and was developed by Dr. Faraz Forghan Parast who is a Fellow at the University of Victoria, Electronic Textual Cultures Lab (ETCL). It will help you to disclose how much and how you used AI in your research work, and using it can also help you reflect on the different ways you may or may not be using AI tools in your research process.
Acknowledgements
- Generative AI Presentation by Scott Cowan MLIS, Roger Reka MI (CC-BY), from the Leddy Library at the University of Windsor
- Christian Schmidt, Artificial Intelligence library guide (CC-BY-SA), from the University of Victoria Libraries
- Rich McCue & Zarah Premji presentation: Generative AI & Academic Assignments: Exclude or Embrace? (CC-BY)
- UBC Library Research Commons, for their assistance with the Jekyll template for GitHub Pages.
Additional Resources
Debugging playbook (why outputs suck, and the exact fix)
Use this when the model gives you nonsense.
Problem: Too vague / generic
Fix prompt: Ask me 3 clarification questions first. Then produce the output using my answers.
Problem: Hallucinated facts / made-up citations
Fix prompt: List each factual claim as a bullet. For each claim: give a source URL + date. If you can’t, write “UNVERIFIED.” Then rewrite using only VERIFIED claims.
Problem: Too long / rambling
Fix prompt: Rewrite to <=90 words. Keep only the top 3 points. Remove examples and filler.
Problem: Wrong level for audience
Fix prompt: Rewrite for <audience>. Add 1 simple example. Remove technical jargon.
Problem: Scope creep (“everything about X”)
Fix prompt: Limit to: <3–5 specific subtopics>. One sentence each. No extras.
Privacy & safety
- UVic guidance on GenAI in research
- COMING SOON: Redaction/metadata tools (exhilaration tool, Office “Inspect Document”)