Work through the list without notes. If you cannot do a statement, follow its link, then come back. Guide = study guide; Practice = practice questions.
Understanding
- I can explain how bias in data and in algorithms leads to biased results. (Guide: “How biased data cause biased results” and “How algorithms can introduce bias”; Practice Q1, Q2)
- I can explain that bias can be embedded at all levels of development. (Guide: “Computers are not automatically neutral”; Practice question 10)
- I can explain what a proxy is and why a rule that names no group can still disadvantage one. (Guide: “How algorithms can introduce bias”; Practice Q4, Q6, Q9)
- I can explain why more data does not remove bias. (Guide: “How biased data cause biased results”; Practice Q7 and question 10)
Skills
- I can calculate accuracy for each group and overall. (Guide: Worked example 1; Practice Q3, Q8)
- I can apply a rule to a table of cases and list who is selected. (Guide: Worked example 2)
- I can state specific actions that reduce bias. (Guide: “Reducing bias”; Practice Q5, Q8)
Reasoning
- I can explain why an overall figure can hide a gap between groups. (Guide: Worked example 1; Practice Q8)
- I can evaluate a rule for proxy effects and suggest a fairer check. (Guide: Worked example 2; Practice Q9)
- I can analyse a data source and say whose experience it may leave out. (Guide: “How biased data cause biased results”; Practice Q7)
All ticked? Move on to the Topic 5.4 study guide, Crowdsourcing.