Computing // Artificial Intelligence

AI and Fairness in Decisions

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

Ages
9 to 11
Type
Concept
Builds on
2 topics
Leads to
1 topic

Quick check

If the learner 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?

Ask this to see whether the topic is secure.

Topic // Mastery

What mastery looks like

What a learner can do once this topic is secure.
  • 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

Topic // Map

Where this fits

What to learn first and what this topic opens up, with the reason for each link. Required links come first.
  • RequiredMust come first
  • HelpfulHelps, but not essential

Before this

2 topics
  • Artificial Intelligence // Ages 9 to 11

    Must understand bias before examining fairness in high-stakes AI decisions

  • Artificial Intelligence // Ages 7 to 9

    Human vs machine comparison provides context for when AI should/shouldn't decide

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AI and Fairness in Decisions

Ages 9 to 11 // Concept

Leads to

1 topic
  • Artificial Intelligence // Ages 9 to 11

    Must understand AI fairness before designing responsible AI systems

Computing // Artificial Intelligence