4. Fairness
Under Australia’s AI Ethics Principles, AI systems should throughout their lifecycle be inclusive and accessible and should not involve or result in unfair discrimination against individuals, communities or groups.
For each of the following questions, indicate either yes, no or N/A, and explain your answer.
4.1 Defining fairness
Do you have a clear definition of what constitutes a fair outcome in the context of your use of AI?
Where appropriate, you should consult relevant domain experts, affected parties and stakeholders to determine how to contextualise fairness for your use of AI. Consider inclusion and accessibility. Consult the guidance document for prompts and resources to assist you.
4.2 Measuring fairness
Do you have a way of measuring (quantitatively or qualitatively) the fairness of system outcomes?
Measuring fairness is an important step in identifying and mitigating fairness risks. A wide range of metrics are available to address various concepts of fairness. Consult the guidance document for resources to assist you.