Recommended Structure:
Format: Live online (Zoom or equivalent)
Length: One week (three touchpoints)
Capacity: Up to 25 attendees
Online Tools Provided: OpenNotebook, OpenWebUI
Session 1 — Intro + Q&A (≈60 min)
Establish shared vocabulary and core concepts
Session 2 — Office Hour / Open Lab (≈60 min)
Bring real patron questions, scenarios, and edge cases
Session 3 — Follow-up Discussion + Reflections (≈60 min)
Reinforce key points and translate learning into day-to-day practice
This offering builds a shared baseline of AI literacy across staff roles. Participants learn how modern AI systems generate outputs, what they can and cannot do, and how to communicate non-sentience and limitations without jargon. The focus is practical, service-oriented safety: protecting patron privacy, validating information, and setting appropriate expectations.
Who it's for
- Front-line staff who field patron questions about AI
- Supervisors and trainers who want consistent, plain-language talking points
- Anyone who wants a clear "catch-up" on modern AI basics without hype
What you'll learn
- What modern AI is (and isn't), in plain language
- How AI generates outputs and why it can sound confident when it's wrong
- How to explain limitations and non-sentience respectfully and clearly
- Privacy-forward habits for public service settings
- How to set expectations and guide patrons toward responsible use
Leave with
- Ready-to-use talking points for common patron questions
- A shared baseline vocabulary your whole team can use
- Practical safety practices for privacy and verification in daily service