Summary

Congratulations on completing this course on responsible LLM use in research. You now have the knowledge and tools to:

• Understand LLMs and their limitations
• Provide effective context while maintaining transparency
• Engineer prompts that enhance your capabilities
• Navigate ethical considerations responsibly
  
• Apply University of Bristol policies and guidance to your AI use

Successful AI implementation requires ongoing commitment to learning, adaptation, and ethical reflection. The technology will continue to evolve, but our commitment to responsible use must remain constant.

Your responsible AI checklist

Before using an AI tool for any significant research task:

1. ✅ Verify: Do not act on specific facts, citations, or statistics without independent verification against the primary literature
2. ✅ Protect privacy: Do not submit personal, participant, or unpublished data without checking the tool’s privacy policy and University guidance
3. ✅ Maintain oversight: You are responsible for every output you share or act on — review carefully
4. ✅ Be transparent: Attribute AI assistance where your context, journal, or funder requires it
5. ✅ Consider the human dimension: Would the people affected feel respected by this use of AI?
6. ✅ Think proportionately: Is the task genuinely worth the energy, privacy, and relational costs involved?

Good luck, and use AI thoughtfully.