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AI in Your Toolkit: A Discussion on Bias in AI Online
Session Overview
In this session, part of the Library's AI in Your Toolkit series, we will present prominent examples of AI bias, explain why bias occurs, and summarize efforts by AI engineers to curb bias. We will also outline some strategies that AI users can take to minimize biased output. Finally, we will open the floor to participants to offer reactions to several guided questions. We expect to have a lively discussion, but encourage you to attend the session even if you do not intend to participate in the question-and-answer section.
Learning Objectives
- Explain why AI may provide biased responses.
- Describe some of the strategies that AI engineers are using to try to curb bias.
- Apply strategies for minimizing biased 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, Apr 8 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




