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AI Fundamentals
Level: Beginner58 lessons
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Ecosystem, Responsibility, and Future

Privacy, Copyright, and Bias

Sensitive data, ownership, and unfair outcomes.

In this lesson

Lesson goals

  • Data minimization and protection
  • Tool terms and source rights
  • Measuring and mitigating bias

Core idea

Sensitive data, ownership, and unfair outcomes.

1. Data minimization and protection: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Tool terms and source rights: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Measuring and mitigating bias: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Privacy, Copyright, and Bias.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

  1. Explain “Privacy, Copyright, and Bias” in your own words.
  2. Give one appropriate and one misleading application.
  3. What risk or limitation should be monitored?