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How should a fixed audit budget be split between gold-labelled and noisy audits?

research/ambient-auditbudget

How to split a fixed audit budget between gold and noisy audits when gold costs 3 to 30 times more: all-noisy is worst or near-worst in all 12 cells, 25% on gold with a joint EM fit is within 0.0009 of the best, and all-gold loses when gold is expensive (stylised)

5 tests

What it found

Extending the stylised gold-audit model with a price: a gold audit costs 3, 10 or 30 noisy audits, with budgets of 200 and 1000. Spending everything on noisy audits read as truth is the worst or near-worst split in all 12 cells (0.387–0.388 at label accuracy 0.7). There is no single best share, but 25% of the budget on gold, fitted jointly with the noisy audits by EM, is within 0.0009 of the best in every cell and 50% within 0.0016. When gold is expensive, all-gold is worse (0.3843 at B = 200, cost 30). Stylised: uniform-error matrices, one auditor accuracy, round-number utilities.

A figure from its own output

Figure produced by research/ambient-auditbudget: auditbudget
ambient-auditbudget/experiments/auditbudget.svg, written by the project's own experiment code.

Paper, code and results

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Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.