1. Explain how bias, fairness and inclusion fits into safe, practical AI use
Use this outcome directly on the page activity and record the evidence in your learning journal.
Responsible AI in Aotearoa · Page 44 of 57
Bias, Fairness and Inclusion
Learn to look for missing perspectives, unfair assumptions and accessibility barriers.
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What you will learn
2. Apply look for missing perspectives, unfair assumptions and accessibility barriers
Use this outcome directly on the page activity and record the evidence in your learning journal.
3. Recognise the main quality or safety risk in this topic
Use this outcome directly on the page activity and record the evidence in your learning journal.
4. Record evidence of a checked and useful result
Use this outcome directly on the page activity and record the evidence in your learning journal.
Step-by-step practice
Step 1. Read the purpose of Bias, Fairness and Inclusion and identify the result you need.
Step 2. Prepare a harmless example, approved source or fictional data set.
Step 3. Apply the page method to look for missing perspectives, unfair assumptions and accessibility barriers.
Step 4. Check the result for accuracy, privacy, clarity, fairness and usefulness.
Step 5. Complete this activity: Review a fictional selection checklist and identify language that may exclude or disadvantage people.
Safe and responsible practice: Privacy, consent, fairness and human review are requirements, not optional extras.
Practical activity
Complete and record this task
Review a fictional selection checklist and identify language that may exclude or disadvantage people.
Good-practice checklist
Minimise personal information
Check consent and permission
Look for bias or exclusion
Stop when risk is unclear
Complete the practical activity for bias, fairness and inclusion
Record what changed after review
Check the result on a mobile device
Ask a qualified person when consequences are significant
Complete this page
In progress