Wednesday, March 26, 2025
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1 - 2:30 pm ET
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There is widespread agreement on the necessity of AI Literacy, especially for those who work in libraries. In this series, you’ll be introduced to generative AI and its uses for education. We’ll cover:
- Understanding the underlying technology
- Prompting for language models
- Multimodal AI for education and accessibility
- Generating multimedia with AI
- AI tools for library research
Each session will cover related ethical issues as well as ideas for beneficial uses. You’ll receive instructions for hands-on activities that you can complete between sessions. And finally, you’ll get a bibliography of sources for continuing your learning.
Registration for this series requires a strong commitment to attending all five sessions, as each session builds upon the previous one. Participants are strongly advised to register only if they can attend the entire series. Each session will be recorded, with exclusive access to the recordings available for BLC members.
Session 4: Generating Multimedia with AI
Wednesday, March 26, 2025, 1 - 2:30 pm ET
In this tour of multimedia generative AI tools, you’ll be introduced to the underlying technology – how can images be created from just a text input? You’ll see demonstrations of tools for creating images, video, speech, and music. You’ll see examples of what these tools can generate. We’ll discuss the ethical issues around training data, and also the problem of deepfakes. Finally we’ll offer ideas for how to use these tools for educational purposes, with ethics in mind.
Subsequent Sessions:
Session 5: AI Tools for Library Research
Wednesday, April 2, 2025, 1 - 2:30 pm ET
In this session, you’ll learn how to use language models for library research, including idea generation, searching, summarizing, and studying. We’ll cover Perplexity, Claude, NotebookLM, and Elicit. You’ll learn the differences between semantic searching and keyword searching. We’ll look at some methods for evaluating AI tools that vendors may offer for purchase by libraries. We’ll also take a look at some open-source models and discuss what open-source means for generative AI. We’ll conclude by looking at some of the newer types of models, especially those that can do a series of steps at once to create a research paper, like Deep Research. What might this mean for the future of library research?
