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SBS Article Rating

Jane Hume says 'we're missing the point' on OpenAI Medicare breach

  • Bias Rating

    10% Center

  • Reliability

    55% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -52% Negative

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

-34% Negative

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  •   Conservative
SentenceSentimentBias
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Bias Meter

Contributing sentiments towards policy:

58% : Her comments follow Prime Minister Anthony Albanese's revelation this week that an agent linked to OpenAI, the California-based developer of ChatGPT, gained unauthorised access to Medicare Statistics Reporting Service Portal, which is administered by Services Australia.
55% : " Albanese returned to Australia after a week in the US, where he addressed the United Nations General Assembly on the international need to rein in AI.
51% : But he said he wasn't aware of them before revealing the unauthorised OpenAI infiltration of the Medicare Statistics Reporting portal while in New York on Thursday.
48% : However, US President Donald Trump used a speech at the UN to lash out at calls to put the brakes on AI. -- With reporting by Australian Associated Press
42% : PM says incident was not isolated There have been dozens of cases of artificial intelligence agents wrongfully accessing classified information beyond Australia's Medicare hack, Albanese said on Saturday.
36% : Deputy Liberal leader Jane Hume has accused the federal government of "missing the point" in its response to the OpenAI Medicare breach, arguing the incident exposed serious gaps in Australia's cyber defences.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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