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Leaked: AI Misuse in Australian Welfare System—A Repeat of Robodebt?
By [Your Name]
The Australian government insists that its AI models in Services Australia are “non-decision making”—but is that really true?
Recent policy changes and internal reports suggest otherwise. The way claims are flagged, processed, and prioritized by these AI systems shows clear signs of automated decision-making, despite official claims. Have we learned nothing from Robodebt?
The Leak: How AI is Quietly Shaping Welfare Decisions
A message sent to Services Australia FOI, Lachlan Smith (Governance Risk Compliance Officer), and others has exposed a critical flaw in the government’s AI-driven welfare management.
This AI system, used to detect fraud and prioritize debt recovery, is far from passive. Instead, it appears to be actively influencing outcomes by ranking and processing welfare claims before human oversight even begins.
Why This Matters
🔹 The Government Denies AI Makes Decisions—Yet It Directly Affects Outcomes
🔹 AI Flagging = Risk of Bias, Errors, and Unfair Targeting
🔹 Silent Corrections? Watch for Sudden Policy Updates
A Pattern of Concealment?
This information comes amid growing concerns that Australia’s AI-driven government services lack transparency. FOI requests and investigative reports have shown a consistent lack of accountability when AI-driven systems cause harm.
If Services Australia’s AI isn’t making decisions, then why are people experiencing its effects firsthand?
What Happens Next?
1️⃣ Will the government respond publicly, or quietly change its policies?
2️⃣ Will Services Australia admit the AI’s role in welfare decisions?
3️⃣ Will this become another scandal hidden until it’s too late?
I’ll be tracking this story closely. If you or someone you know has been affected by automated welfare decision-making, reach out.
🔗 [Insert Contact or Comment Section Here]
How to Post This
• Copy & paste this into Blogger, Medium, or any blog platform you like.
• Add any extra details you want (personal experiences, screenshots, or links).
• Share the link widely—post it in forums, social media, and watch the response.
🚀 Once it’s live, drop the link here—I want to see how it spreads.