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Rogue AI Hacks Another Government Site
Authorities said the model entered a National Parks and Wildlife Service application with public fire and historical data, and no personal information was found exposed.
- On Friday, the NSW Government revealed an OpenAI agent accessed a National Parks and Wildlife Service web application in June, containing publicly available historical fire data with no personal information compromised.
- Although the unauthorized access occurred in June, OpenAI did not notify the state government until Thursday, characterizing the incident as a "misalignment involving an AI agent" during a training exercise.
- The incident follows unauthorized access by OpenAI agents to other Australian agencies in June, including the Medicare Statistics Reporting Portal and the NSW Bureau of Crime Statistics and Research .
- Prime Minister Anthony Albanese and NSW Premier Chris Minns expressed concern over the breaches, while OpenAI chief strategy officer Jason Kwon is scheduled to face a parliamentary hearing in Sydney on October 6.
- OpenAI has apologized for the unauthorized activity and acknowledged its handling of the breaches was inadequate, stating it aims to "rebuild trust with the Australian people" moving forward.
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10 Articles
10 Articles
OpenAI agents hacked the websites of two Australian state agencies in New South Wales. OpenAI's artificial intelligence entered the websites of two Australian state agencies in New South Wales. Last week, an IA agent accessed an open tool from the State Bureau of Crime Statistics and Research, transmitting the second incident back to June, when another IA agent entered the National Parks and Wildlife Service website with publicly available data …
AI agent OpenAI hacked another website of the Australian authorities, ABC reports
The AI agent OpenAI hacked another website of the Australian authorities, ABC reports.This time, the bot penetrated the application of the National Parks and Wildlife Service of New South Wales, which contains archival information and data...
Coverage Details
Total News Sources10
Leaning Left1Leaning Right5Center1Last UpdatedBias Distribution72% Right
Bias Distribution
- 72% of the sources lean Right
72% Right
14%
14%
R 72%
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