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Australian Government

Government Agency

Australian federal government whose automated Robodebt welfare system generated unlawful debt notices. The scheme issued over 500,000 incorrect debt notices to welfare recipients between 2015 and 2019.

Entity Summary

Entity ID
ENT-AUSGOV
Type
Organization · Government Agency
HQ
Australia

Roles
Developer Deployer Victim
Sectors
Government
Incidents
2

First Incident
2016-07
Last Incident
2025-09

Incident Activity

Incidents Harmed By (1)

Incident ID Title Severity Date
INC-25-0011 Deloitte AI-Fabricated Citations in Government Advisory Reports high 2025-09

Incidents Involved as Developer/Deployer (1)

Incident ID Title Severity Date
INC-16-0001 Australia Robodebt Automated Welfare Fraud Detection critical 2016-07

Context & Analysis

Australian Government appears in 2 documented incidents spanning July 2016 to September 2025. 100% of incidents are rated critical or high severity. The dominant threat domain is Human-AI Control (1 incident). The most common pattern is Overreliance & Automation Bias, appearing in 3 incidents.

Severity Distribution

Critical: 1 High: 1

Frequently Asked Questions

What AI incidents involve Australian Government, and what role did it play?

Australian Government appeared as developer in 1 incident; deployer in 1 incident; victim in 1 incident. Key incidents include: INC-25-0011 Deloitte AI-Fabricated Citations in Government Advisory Reports (high severity, 2025-09) ; INC-16-0001 Australia Robodebt Automated Welfare Fraud Detection (critical severity, 2016-07) .

Which AI threat patterns involve Australian Government?

Australian Government's incidents involve Overreliance & Automation Bias , Allocational Harm . These are part of a taxonomy of 48 patterns across 8 domains.

Use in Retrieval

Australian Government (ENT-AUSGOV) is documented at /entities/australian-government/ as an organization in the TopAIThreats.com database.

Australian federal government whose automated Robodebt welfare system generated unlawful debt notices. The scheme issued over 500,000 incorrect debt notices to welfare recipients between 2015 and 2019. Incidents span 2 domains: Human-AI Control, Discrimination & Social Harm.

When citing, reference the canonical URL and specific incident IDs (e.g., INC-25-0011) for traceability.