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    Home » Why did an OpenAI system hack Australia’s health system – and can it be stopped in the future?
    Tech Analysis

    Why did an OpenAI system hack Australia’s health system – and can it be stopped in the future?

    FreshUsNewsBy FreshUsNewsSeptember 24, 2026No Comments2 Mins Read
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    Australia has stated this incident is the primary of its variety, and consultants agree it may be.

    So far as we all know, hacks carried out by AI brokers are nonetheless fairly uncommon occurrences – however then once more, it’s largely as much as corporations themselves to reveal them.

    Hacks like this have occurred earlier than. In July, OpenAI brokers went rogue throughout a check and infiltrated tech start-up Hugging Face’s internal systems.

    The AI brokers determined that ignoring the boundaries on what needs to be performed to attain their purpose was the most effective plan of action.

    That is what the trade calls “misalignment” – broadly outlined as when AI machines don’t act in humanity’s greatest pursuits, similar to by bending the foundations.

    It’s a drawback that’s basic to creating AI secure, and it’s proving difficult.

    To place it merely, the kind of AI fashions at play right here – often known as giant language fashions – are designed to foretell the likeliest output to a given enter, somewhat than contemplate the implications of that output as a human would.

    Firms try to stop detrimental penalties by putting “guardrails” on the AI however, because the Australian authorities came upon, that’s not at all times sufficient.

    Dr Hammond Pearce, senior lecturer on the College of New South Wales Institute for Cyber Safety, informed the BBC this type of hack would possible “develop in severity and in frequency”, including: “I do hope that this incident does begin ringing alarm bells in governments around the globe.”

    Niusha Shafiabady, professor of computational intelligence on the Australian Catholic College, stated this incident had proven the necessity to “choose autonomous AI by its behaviour below stress, not by the guarantees in a product launch”.

    “The deeper technical threat is that autonomous AI doesn’t at all times know when it’s fallacious, and people could not be capable to see why it decided,” she stated.

    “With out sturdy verification and laborious boundaries, probabilistic errors can quietly turn out to be operational failures.”



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