Event box
AI in Your Toolkit: A Discussion on AI Trustworthiness Online
Session Overview
In this session, the third in the Library’s AI in Your Toolkit series, we will discuss the extent to which AI tools provide accurate information or offer sound suggestions. We will begin by presenting notable examples of hallucinations—false or misleading information—and summarizing research on the topic. We will offer some possible techniques for minimizing hallucination. Finally, we will open the floor for you to offer reactions to several guided questions.
Learning Objectives
- Summarize some of the research on hallucination
- Apply prompt-engineering techniques to minimize hallucination
- Formulate strategies for assessing AI output
Accessibility
UCSF welcomes all participants to our events. If you need a reasonable accommodation to participate in this event because of a disability, please contact Ariel Deardorff at ariel.deardorff@ucsf.edu as soon as possible.
People
- Yea-Hung Chen is a Data Science Specialist. He leads workshops on R and provides one-on-one consultations and data science and R.
- Eileen Chen is an Education and Research Librarian. She offers support with literature searching, data management, and open access publishing.
- Ariel Deardorff is the Director of Data Science and Open Scholarship. She leads a team focused on empowering researchers to engage with open research and reproducible data-driven science.
- Josephine Tan is an Education and Research Librarian. She teaches curriculum-integrated literature searching and citation management skills and specializes in medical education research.
- Holly Thompson is the Director of Education and Clinical Research Services. She leads a team of librarians who support the education and research missions of the UCSF professional schools, UCSF Health, Zuckerberg San Francisco General Hospital, and Benioff Children’s Hospital Oakland.
AI in your Toolkit Series
This session is part of a 6-workshop series called AI in your Toolkit: Critical approaches to using AI in your work. Learn more about the series and find session materials on the AI in your Toolkit website.
- Date:
- Wednesday, Feb 11 2026
- Time:
- 11:00am - 12:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science Education and Research Special Event




