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    Home » Sections » Information security » Apple contractors hear some user interactions with Siri

    Apple contractors hear some user interactions with Siri

    By Martyn Landi29 July 2019
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    Contractors working for Apple hear a small portion of recordings from voice assistant Siri, the company has confirmed.

    The technology giant said part of its quality control involved maintaining and improving the virtual assistant.

    According to a report by the Guardian, contractors employed by Apple to analyse the interactions said they regularly hear personal information and parts of private conversations.

    Siri, which is built into Apple devices such as the iPhone and Apple Watch, can be activated when it hears the phrase “Hey Siri”.

    Siri responses are analysed in secure facilities and all reviewers are under the obligation to adhere to Apple’s strict confidentiality requirements

    However, the assistant can be accidentally prompted when it mistakenly thinks it hears the wake phrase.

    It is also possible to accidentally trigger Siri when an Apple Watch detects it has been raised and then hears speech, even when a user is not planning to speak to the assistant.

    Apple said only a random subset — less than 1% of daily Siri activations — were part of the grading scheme, and each of these was just a few seconds long.

    “A small portion of Siri requests are analysed to improve Siri and dictation. User requests are not associated with the user’s Apple ID,” the company said.

    Apple not alone

    “Siri responses are analysed in secure facilities and all reviewers are under the obligation to adhere to Apple’s strict confidentiality requirements.”

    Fellow tech giants Amazon and Google have both recently confirmed they also use small samples of user recordings with their own voice assistants to train and develop its language recognition software.

    The two firms each have a virtual assistant present in smart speakers and some smartphones, and both confirmed they use human auditors to analyse a small section of recordings from users.

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