Operationalising Fairness
Operationalise fairness as a discipline rather than a slogan. Learn fairness definitions in the context of your AI system (which definition of fairness applies depends on the use case), fairness measurement choices (group, individual, counterfactual, intersectional), in-pipeline mitigations (pre-, in-, post-processing), governance for unresolvable fairness trade-offs (the impossibility theorems that practitioners run into), external review (NYC AEDT-style audits, voluntary fairness certifications), and reporting.
6
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Lessons in This Topic
Work through these 6 lessons in order, or jump to whichever is most relevant.
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