Lesson 8: Ethics in AI

Responsible, fair, and transparent AI development

Why Ethics Matter

AI systems influence decisions in hiring, healthcare, law enforcement, education, and more. Poorly designed AI can reinforce bias, reduce transparency, and cause harm at scale. Ethics guide how we design, train, and deploy AI responsibly.

Fairness

  • Prevent discrimination by gender, race, or background.
  • Diverse datasets reduce systemic bias.
  • Audit models for unfair outcomes.

Transparency

  • Explainable AI helps humans understand decisions.
  • Open communication of limitations builds trust.
  • Clear documentation of data sources and assumptions.

Privacy & Security

  • Protect sensitive personal information.
  • Use anonymization and encryption where possible.
  • Follow data protection regulations (GDPR, etc.).

Accountability

  • Developers and organizations must take responsibility for misuse.
  • Independent audits and regulation can help.
  • Clear lines of accountability reduce risks.

Quick Quiz

1) Why is fairness important in AI?

2) Transparency means…

3) Privacy in AI requires…

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