Definition:

  • Bias: When AI favors certain groups unfairly.

  • Privacy: When AI uses personal data without consent or protection.

Detailed Explanation:
Bias in AI occurs because AI learns from historical data. If the data reflects unfair practices, AI can repeat the same mistakes. Privacy issues happen when sensitive information is collected or shared without protection. Both issues are serious because they can harm individuals or society.

Examples for Students:

  • College admission AI might favor students from regions with historically higher acceptance rates.

  • ChatGPT could accidentally store sensitive conversations without anonymization.

  • Social media AI may show biased recommendations based on age, location, or preferences.

Student Tips:

  • Question AI outputs: “Could this be biased?”

  • Protect your personal data online and be aware of what AI platforms collect.

Mini Exercise:
Pick one AI tool you use daily (like YouTube recommendations or a chatbot) and write one possible bias or privacy concern it could have.

Summary:
Bias and privacy are major challenges in AI. Ethical and responsible use ensures fairness and protection for everyone.

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