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A prerequisite knowledge graph of 1590 learning concepts across 8subjects. Track what you've mastered and see exactly what you're ready to learn next — the topics whose prerequisites you've already met. Built on the Marble Open Skill Taxonomy.

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AI and Fairness in Decisions

Computing · Artificial Intelligence · conceptual

Whether AI should make important decisions about people: jobs, loans, justice; who is responsible when AI makes unfair decisions; introduction to algorithmic fairness

What mastery looks like

  • Give an example of an important decision that AI might help make (hiring, medical diagnosis, loan approval)
  • Explain why letting AI make decisions about people can be risky if the system is biased
  • Suggest who should be responsible if an AI system makes an unfair decision

Check your understanding

If AI and Fairness in Decisions learned that a computer program was deciding who gets a job interview, could they explain why that might be unfair and who should be responsible?

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