5.4 – Digital Literacy Practice

How are GenAI tools trained?

What can cause a bias? Where can we use GenAI? How do we write good prompts? How do we evaluate the generated output (the material that AI makes)?

These slides discuss the problem of Bias in AI models.

Bias means paying more attention to one side, often without being fair to the other side. For example, if a TV station always says good things about one politician and bad things about another politician, it is biased.

Bias [in the case of AI]: When an AI tool makes a decision that is wrong or problematic because it learned from training data that didn’t include treat people, places, and things accurately.

Look at this image that shows how AI models are trained.

Image created by generative AI, meant to show how AI learns. Includes two prompts: What do you notice? How does the picture show AI learning? Picture features a robot sitting in front of a computer, surrounded by humans with speech bubbles.Who is providing the data, and what kind of data is it?

What may be missing from the data?
Hint: whose ideas are not represented on the Internet as much?

To build on what we learned: How is bias also possible when we are learning about history?
Hint:  Which resources are available for us to learn about past events? 

These GenAI tools (Chatbots) are now available for everyone to use. You can download the apps such as ChatGPT, Copilot, Gemini, and Claude.

To use Chatbots, you provide a “prompt” asking the computer to generate an image or text.

This video shows you how to sign up and use one Chatbot (ChatGPT). [~8 min]

NEXT: Let’s study word parts and connectors!

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CILIA-T: Civics, U.S. History, Academic English and Digital Skills Copyright © by Aydin Durgunoglu; Erin Cary; and John Trerotola is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.

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