Learn to navigate AI responsibly in academia with guidelines on integrity, transparency, access, and literacy to foster ethical and inclusive practices.
Integrity
- Refrain from using AI in all aspects of research but instead as a research tool.
- Prioritize using vetted UNO enterprise tools for research.
- AI-generated summaries, insights, or graphs should be critically reviewed and validated. Human researchers are responsible for the accuracy and integrity of findings.
- AI use in research should always aligns with ethical research practices, academic honesty, and the guidelines set forth by publishing and funding agencies
- Never use AI when peer reviewing research.
- All data should be deidentified before being used in AI tools.
- Critically review AI-generated content for potential bias in results.
- Manually edit, supplement, or revise AI-generated content to ensure fair representation.
- AI should not replace human interaction or consent in the research process.
Transparency
- Clearly disclose AI use in your research process (data collection, analysis, interpretation, etc.) and how human oversight was applied.
- Be transparent about AI use with co-authors, other investigators, student researchers, and the end consumer.
- Explicitly state AI’s contribution in research papers, grant proposals, and presentations.
- Disclose any planned AI use in consent forms for research participants.
- Document AI workflows, prompts, and outputs related to AI implementation in the research process.
Access
- Collaborate with interdisciplinary teams to address equity issues in AI applications
- When developing AI models, prioritize diverse, representative, and ethically sourced data.
- Train your team on using AI tools responsible, including recognizing bias and validating outputs.
- If working with student researchers, provide hands-on experience on how AI can help in research practices.
- Participate in AI Pilots on campus to explore AI use.
AI Literacy
- Participate in advanced workshops and trainings on AI applications for research
- Develop critical evaluation skills and ensure that co-investigators practice similar skills.
- Stay informed about evolving best practices for ethical AI use in research.
- Ensure that all colleagues and mentees recognize appropriate use of AI in research
- Prioritize continuous learning, attend workshops, webinars, etc. on ethical AI use in research.
- Prioritize discussions about the benefits and limitations of AI in addition to the ethics of using AI in research roles at the university.