The Artificial Intelligence (AI) Guide provides an introduction to this evolving field for faculty, fellows, residents, postdocs, students, and staff. Due to the rapid advancement of this emerging technology, information in the Guide may become outdated at times.
For information on Artificial Intelligence (AI) Data Security and Privacy, see Artificial Intelligence (AI) Data Security and Privacy - Information Resources (utsouthwestern.net), VPN/On Campus access only. NOTE: this Guide supplements but does not supersede information provided by UT Southwestern or University of Texas policies and guidelines.
Many thanks to the McMaster University Health Sciences Library, which gave us permission to use their research cycle as a template to develop ours.

Note: All AI can hallucinate, provide poor quality outputs, or oversimplify complex topics. Apply critical analysis to any output.
Use the ROBOT test to evaluate AI tools.
You can ask the AI to do the following:
Check out other chatbots for these processes.
Use these tools to evaluate the impact of your research and find author-, article-, and journal-level metrics.
Use these tools to store and highlight your research and connected data.