Australian Department of Human Services
Australia Robodebt Scheme
Estimated impact: $1.8B in refunds and compensation; Royal Commission costs; at least 2 suicides linked
The Australian government used automated income averaging to raise $1.7B in welfare debt notices against 443,000 people. Many debts were incorrect — the algorithm compared annualized tax data with fortnightly welfare payments, creating false discrepancies. The scheme was ruled illegal.
Decision context
Whether to deploy an automated debt-raising system that used income averaging without manual verification, and whether to reverse the burden of proof by requiring welfare recipients to disprove computer-generated debts.
Biases present in the decision
Toxic combinations
- Blind Sprint
- Echo Chamber
Reference class base rates
Across all 146 curated case studies in our library:
Lessons learned
- Cognitive misering at scale: automating debt notices without human review shifted cognitive labor from government to vulnerable citizens
- Framing welfare recipients as presumptively fraudulent justified a system that reversed the burden of proof
- The algorithm's known methodological flaw (income averaging) was accepted because it produced revenue that met budget targets
Source: Royal Commission into the Robodebt Scheme, Final Report (2023) (Post Mortem)
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