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3.6 AI Ethics and Limitations

Generative AI is powerful but not perfect. It can produce confident but wrong information (called "hallucination"), it can repeat unfair bias found in its training data, and it can be misused to create fake images or misleading text. Knowing these limits helps you use AI responsibly.

Responsible AI weighs benefits against risks like hallucination and bias.

For example, if a student asks an AI for the date of an Ethiopian historical event, the AI might state a wrong year very confidently. A careful student checks important facts against a trusted source before using them.

Scenario

An AI gives you a statistic for a school report. What is the most responsible action?

Check your understanding

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What does it mean when an AI "hallucinates"?