MegaMaester

Artificial Intelligence · Module 6

AI Ethics and Society

The first five modules explained how AI works and where it is used. This module confronts the harder questions: what AI does to fairness, work, privacy, truth, and power — and how societies can steer it toward good.

You will explore bias and fairness, AI's effect on jobs and the economy, privacy and surveillance, the threat to shared truth, governance and regulation, the debates over AI safety, and how to move toward responsible AI — all presented with balance, avoiding both hype and doom.

Lessons
7 lessons
Estimated time
~6-8 hours
Assessment
Module quiz included

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Lessons

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AI Ethics and Society — Module Assessment

14 questions · pass mark 75%

  1. 1.Why did both ProPublica and Northpointe appear to have valid points in the COMPAS dispute?
  2. 2.A team removes 'gender' from its model's inputs and declares the model fair. What is the main flaw in this reasoning?
  3. 3.Why did Frey and Osborne's roughly 47% estimate and the OECD's roughly 9% estimate differ so sharply?
  4. 4.What does the history of ATMs and US bank tellers best illustrate?
  5. 5.What is the main way AI changes the nature of surveillance?
  6. 6.Why was Clearview AI's approach to building its facial-recognition database controversial?
  7. 7.What does the 'liar's dividend' describe?
  8. 8.Why is provenance emphasized over visual inspection when judging whether media is authentic?
  9. 9.What best describes the European Union's AI Act approach to regulating AI?
  10. 10.Why can it be unfair to place all liability for AI harm on the original model developer?
  11. 11.What is "specification gaming" (reward hacking)?
  12. 12.Which statement best describes expert opinion on AI existential risk after the 2023 public statements?
  13. 13.In their 2019 survey of 84 AI-ethics documents, what did Jobin, Ienca, and Vayena find?
  14. 14.What makes human oversight of a high-stakes AI decision meaningful rather than merely nominal?
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