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
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
- 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
- RequiredMust come first
- HelpfulHelps, but not essential
Before this
2 topics- Bias in AI SystemsRequired
Artificial Intelligence // Ages 9 to 11
Must understand bias before examining fairness in high-stakes AI decisions
- Humans Versus MachinesHelpful
Artificial Intelligence // Ages 7 to 9
Human vs machine comparison provides context for when AI should/shouldn't decide
You are here
AI and Fairness in Decisions
Ages 9 to 11 // Concept
Leads to
1 topic- Designing Fair AI RulesRequired
Artificial Intelligence // Ages 9 to 11
Must understand AI fairness before designing responsible AI systems
Computing // Artificial Intelligence
More in Artificial Intelligence
- The Future of AIAges 9 to 11ConceptWhat AI might do in 10 years; what we want it to do and what we're worried about; children as future designers and decision-makers about AI; hopeful, empowered…
- AI and the EnvironmentAges 9 to 11ConceptAI needs huge amounts of energy and water to train; data centres and their environmental cost; but AI can also help — predicting weather, monitoring…
- AI Data Collection and PrivacyAges 9 to 11ConceptWhat data AI systems collect about you; who has it and why it matters; cookies, tracking, smart speakers always listening; your data is valuable
- AI and the Future of WorkAges 9 to 11ConceptHow AI is changing the world of work: some jobs disappear, new ones are created, many change; jobs AI can't do (yet); what skills matter in an AI world
- Deepfakes and AI-Generated ContentAges 9 to 11ConceptDeepfakes, AI-generated images and text; how to spot them and why they matter; the importance of checking sources; not everything online is real
- Data and Information for ComputersAges 7 to 9ConceptWhat data is: information that computers use — numbers, words, pictures, sounds; everything a computer knows comes from data that people give it
- Patterns and ClassificationAges 7 to 9ConceptHumans are great at spotting patterns; computers can learn to spot patterns too, but they need lots of examples; sorting and classification activities as the…
- Machine Learning BasicsAges 7 to 9ConceptHow machine learning works at a conceptual level: show the computer many examples, it finds patterns, then it makes predictions about new things; hands-on…