Unit 1: Sampling Bias
Bias or discrimination (e.g. unfair hiring decisions)
Privacy violations (e.g. using personal data without consent)
Misinformation (e.g. wrong but confident-sounding outputs)
Over-automation (e.g. removing humans from critical decisions)
Security breaches (e.g. leaking sensitive data via AI tools)
🧠 Analogy: AI is like a high-speed car — useful, but risky without brakes or rules.
