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Lesson 17:
Generative AI -
Data and Ethics

Course Content

Lesson Plan

This lesson is OPTIONAL based on your course planning and implementation. AI Owl highly recommends including this lesson if time allows.
In this lesson, students continue learning about data and various other data sources for Generative AI. They are also introduced to the data handling process and the importance of training data. The module ends with explaining bias and how to mitigate bias in Generative AI.

Presentation Slides

1.  Explain the importance of data in Generative AI

2. Identify different data types and sources

3. Describe the data handling process

4. Analyze ethical considerations regarding data bias

    and privacy

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