Explorer Track
Module 5 of 6
AI Ethics & Safety
Understanding bias, hallucinations, privacy concerns, and when NOT to trust AI.
11 min read
What You'll Learn
- Recognize how bias enters AI systems through training data and why outputs can reflect real-world prejudices
- Understand why AI models hallucinate (confidently producing false information) and how to spot it
- Know what happens to your data when you use major AI platforms and how to protect sensitive information
- Navigate the evolving legal landscape around AI-generated content and copyright
- Develop a personal framework for when to trust AI output and when to verify independently
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