Program Type:
Online WorkshopProgram Description
Event Details
Three-session Cohort | May 26, 28, & 29 | 10:00 am - 11:00 am
This cohort equips staff to respond to the most common community concerns about AI: who benefits, who is harmed, and what libraries should do about it. We explore algorithmic bias through concrete examples, discuss access and cost barriers, and review environmental considerations at a high level.
Participants learn a usable equity framework for evaluating AI tools and services in a library context, including considerations of accessibility, language, disability, age, and socioeconomic factors.
What to expect:
- Tuesday, 5/26: Intro + Q&A (60 min): Recorded for later viewing
- Thursday, 5,28: Optional Office Hour / Open Lab (60+ min): Not recorded (to encourage open dialogue)
- Friday, 5/29: Follow-up Discussion + Reflections (60 min): Not recorded (to encourage open dialogue)
Presenter:
Jim Craner
Track: AI
#AIforLibraryWorkers
Additional Information
Recording in CALL Academy
The recording for this session will be made available in CALL Academy approximately one week after delivery.