Researcher Use Examples
AI tools are rapidly becoming part of how we learn, explore new ideas, solve problems, and create meaningful work. When used thoughtfully, these tools can support learning, accelerate discovery, and foster innovation across a wide range of academic, research, and professional activities.
The examples provided below are intended to illustrate common ways AI tools may be used to support work and learning. They should not be interpreted as approval for all situations. Users are encouraged to review applicable policies and expectations before using AI in any academic, research, or professional context.
Generally Allowed
- Idea generation and developing a research question.
- Identifying and/or summarizing literature summaries.
- Analyzing publicly available datasets.
- Editing or refining providing feedback on tone.
Allowed, but with Caution
- Using AI to generate summaries, insights, or graphs from research. These should be critically reviewed for accuracy and validity. Human researchers are responsible for accuracy and integrity of findings.
- Using AI to identify patterns in multiple research articles.
Generally Not Allowed
- Using AI in ways that violates the requirements of the publishing or funding agency.
- Using AI tools to peer review other’s research.
- Feeding unpublished findings into free or paid consumer (non-enterprise) tools.
- Using AI tools to record interviewees without prior approval.
