Ai Literacy For Librarians And Educators

Get hands-on experience with generative AI: including ethical uses, multimodal features, and how to stay current.

What you'll learn

Describe the technologies behind generative AI in a simple way for a general audience.

Identify and effectively use multimodal features, such as voice assistants and computer vision.

Select the best model for your task and then craft effective prompts for those models.

Understand and explain ethical issues related to generative AI, such as bias, deepfakes, and copyright.

Develop a list of reliable sources to follow for staying current with generative AI and its applications for education.

Get inspired with ways to teach generative AI to others.

Requirements

No technical understanding of generative AI is needed.

You will need to create free accounts on a few AI systems such as ChatGPT, Google Gemini, Claude, or Perplexity.

Description

There is widespread agreement that librarians and educators need to have AI literacy. But there isn't one single definition of what that means. However, participating in this course will give you a very strong foundation, particularly in these areas:being familiar with the underlying technology and related terminologyusing the best tools for particular tasksprompting effectivelyusing multimodal features, like voice, data analysis, and computer visionknowing what's possible with multimedia generation (images, video, speech, music)being familiar with both the beneficial and the unethical uses of AI toolsunderstanding ethical issues related to generative AI, such as bias, deepfakes, and copyrightunderstanding how to evaluate news stories about AI and avoid misleading hypedeveloping a list of reliable sources to follow for staying current with generative AI and its applications for education.In this course you'll get hands-on experience with several generative AI tools. Each unit will include:Several short video lectures Several hands-on activitiesRecommended readingsBy the end of this course, you will have enough background to begin to teach others in your community. And you'll have a plan for staying current with new developments. With this knowledge you can begin to work with your peers to influence the future directions of generative AI technologies, in a way that aligns with the values of librarianship and education, such as equity, privacy, and access to information for all.

Overview

Section 1: Introduction

Lecture 1 Welcome to the course!

Lecture 2 Fun personality quiz: What's your AI-adoption personality?

Lecture 3 Setting up your free accounts

Lecture 4 Reviewing the course

Lecture 5 Hands-on activities

Section 2: Understanding the technology

Lecture 6 Gentle introduction to the technology

Lecture 7 How ChatGPT came to be.

Lecture 8 What is generative AI?

Lecture 9 Update: web searching now available in all the models

Lecture 10 Which AI tool for your task? part 1: Ungrounded models

Lecture 11 Which AI tool for your task? Part 2: Grounded models

Lecture 12 Openly-licensed models

Lecture 13 Activity 1: Write a simple explanation of how this technology works

Lecture 14 Activity 3: AI myths

Lecture 15 Activity 2: Complete the review exercise in the tutorial: What is generative AI?

Lecture 16 Activity 4: Use Perplexity to search the web

Lecture 17 Activity 5: Use Elicit to find scholarly articles

Lecture 18 Recommended readings - the technology

Section 3: Prompting for language models

Lecture 19 Practical tips for using language models

Lecture 20 Prompting tips, part 1

Lecture 21 Prompting tips, part 2

Lecture 22 Prompting for reasoning models

Lecture 23 Creating specialized chatbots

Lecture 24 Transparency

Lecture 25 Activity 1: Prompting for LLMs

Lecture 26 Activity 2: Experiment with chatbots

Lecture 27 Activity 3: Build your own chatbot

Lecture 28 Recommended readings - prompting

Section 4: Ethical issues

Lecture 29 Copyright

Lecture 30 Bias in language models

Lecture 31 Labor and big tech

Lecture 32 Climate issues

Lecture 33 Activity 1: Content moderation for AI and social media: a debate using Gemini

Lecture 34 Activity 2: AI copyright trap debate using Gemini

Lecture 35 Activity 3: Use Claude to evaluate news stories about the climate impacts of A

Lecture 36 Activity 4: Use NotebookLM to discuss benefits and risks of genAI & healthcare

Lecture 37 Activity 5: Mitigating hallucinations: comparing three methods

Lecture 38 Recommended readings - Ethical issues

Section 5: Using multimodal features

Lecture 39 Data analysis

Lecture 40 Computer vision

Lecture 41 Using voice assistants

Lecture 42 Language translation and transcripts

Lecture 43 Activity 1: Translate your voice to another language

Lecture 44 Activity 2: Create a transcript of an audio recording with Descript

Lecture 45 Activity 3: Use computer vision to write “alt text” for images

Lecture 46 Activity 4: Use computer vision to save the text from an infographic

Lecture 47 Activity 5: Experiment with data analysis, using fictional data

Lecture 48 Activity 6: Experiment with Audio Overviews in NotebookLM

Lecture 49 Activity 7: “Stream Realtime” with Google AI Studio

Lecture 50 Recommended readings - multimodal features

Section 6: Creating multimedia with generative AI

Lecture 51 Generating images, part 1

Lecture 52 Generating images, part 2

Lecture 53 Bias in AI-generated images

Lecture 54 Generating videos

Lecture 55 Generating music and speech

Lecture 56 Copyright issues related to multimedia generation

Lecture 57 Deepfakes and recognizing AI-generated content

Lecture 58 Beneficial uses of multimedia generation

Lecture 59 Activity 1: Generate images of diverse people

Lecture 60 Activity 2: Generate fanciful animal images in different art styles and mediums

Lecture 61 Activity 3: Generate music with Suno

Lecture 62 Activity 4: Generate voices with Eleven Labs

Lecture 63 Activity 5: Generate a lip-synced video clip with Hedra

Lecture 64 Activity 6: Recognizing AI-generated images

Lecture 65 Recommended readings - generating multimedia

Section 7: Avoiding the hype in news stories about AI

Lecture 66 News literacy and avoiding hype

Lecture 67 Activity 1: Avoiding hype in news stories

Lecture 68 Activity 2: Understanding how the media can get things wrong about AI

Lecture 69 Activity 3: Use my custom bot: Hype Detector

Lecture 70 Activity 4: Deep Background: fact-checks and context by Mike Caulfield

Lecture 71 Activity 6: Deep Research

Lecture 72 Recommended readings - avoiding the hype

Section 8: Staying current

Lecture 73 Staying current with generative AI

Lecture 74 Recommended resources for staying current

Library workers at all levels and from any type of library.,Anyone else who is interested in AI literacy.