Speaker notes for the slides above
Slide 1 — Learning Objectives
Note of caution: some of the images used in this slide deck are from Google Images Search. We've listed that to be the case where appropriate, but we recommend switching them out if your organization has strict policies around this. Feel free to reach to us to discuss more.
Slide 2 — Pre-Workshop Survey
No speaker notes on this slide.
Slide 3 — What is Artificial Intelligence (AI)?
Emphasize that Artificial Intelligence (AI) is not human and uses math/statistics to work. Ask the class if they've heard of "ChatGPT" or ask them for examples of AI. Tell them that AI is a catch-all term, it represents every computer system/program that is trained to recognize patterns and make predictions. It comes in different forms, which we'll discuss in later slides.
Examples of AI: autocorrect, navigation rerouting, spam filters, social-media recommendations.
Slide 4 — AI in Your Daily Life
This visual shows how AI threads through our everyday experiences — predicting what we'll watch, buy, or type next. Each of these uses represents predictive models working quietly behind the scenes to understand what do we like, we will we do next, what do we need, etc. I often remind participants: if your phone 'knows' what you want before you do, that's not magic, it is machine learning.
Slide 5 — AI in Your Daily Life (discussion)
Optional video made by Google which provides various examples of AI in one's everyday. Ask students to brainstorm where they've used AI or watch the video and if they relate to it.
Slides 6–18 come with the full package
The rest of the deck covers LLMs, black box concept, hallucinations, and bias in AI.
Pages 2–3 come with the full package
The rest of the guide walks through the lesson slide by slide, with explanation notes.
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Slides: AI Basics
18 slides · An aide to accompany live instruction
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Instructor Guide: AI Basics
3 pages · Learning objectives, lesson plan with timings, and slide-by-slide notes
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Handout: Intro to AI & AI in Your Daily Life
2 pages · For participants to take with them. Covers what AI is, common myths, and examples of AI in daily life
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Handout: Intro to LLMs
2 pages · For participants to take with them. Covers LLMs, hallucinations, bias in AI, and examples of LLMs
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Pre- & Post- Survey Questions
2 pages · Optional, to track participant outcomes