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facct-experiments

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Use when designing or auditing ACM FAccT empirical work — quantitative fairness audits with disaggregated metrics and fair baselines, qualitative and participatory studies with coding and reflexivity, mixed-methods designs, sound handling of protected attributes and proxies, consent and IRB for human-subjects and community-facing work, and matching evidence to the shape of a fairness/accountability/transparency claim.

When to use

• designing ACM FAccT empirical work
• auditing ACM FAccT empirical work
• quantitative fairness audits with disaggregated metrics
• qualitative and participatory studies with coding and reflexivity
• mixed-methods designs
• handling protected attributes and proxies
• consent and IRB for human-subjects work
• matching evidence to fairness claims

When not to use

• leaderboard evidence

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