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      Child safety org launches AI model trained on real child sex abuse images

      news.movim.eu / ArsTechnica • 21 November 2024

    For years, hashing technology has made it possible for platforms to automatically detect known child sexual abuse materials (CSAM) to stop kids from being retraumatized online. However, rapidly detecting new or unknown CSAM remained a bigger challenge for platforms as new victims continued to be victimized. Now, AI may be ready to change that.

    Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It's the earliest AI technology striving to expose unreported CSAM at scale.

    An expansion of Thorn's CSAM detection tool, Safer , the new "Predict" feature uses "advanced machine learning (ML) classification models" to "detect new or previously unreported CSAM and child sexual exploitation behavior (CSE), generating a risk score to make human decisions easier and faster."

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    • tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn

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    • Ar chevron_right

      Child safety org launches AI model trained on real child sex abuse images

      news.movim.eu / ArsTechnica • 21 November 2024

    For years, hashing technology has made it possible for platforms to automatically detect known child sexual abuse materials (CSAM) to stop kids from being retraumatized online. However, rapidly detecting new or unknown CSAM remained a bigger challenge for platforms as new victims continued to be victimized. Now, AI may be ready to change that.

    Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It's the earliest AI technology striving to expose unreported CSAM at scale.

    An expansion of Thorn's CSAM detection tool, Safer , the new "Predict" feature uses "advanced machine learning (ML) classification models" to "detect new or previously unreported CSAM and child sexual exploitation behavior (CSE), generating a risk score to make human decisions easier and faster."

    Read full article

    Comments

    • tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn

    • Pictures 3 image

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    • Ar chevron_right

      Child safety org launches AI model trained on real child sex abuse images

      news.movim.eu / ArsTechnica • 21 November 2024

    For years, hashing technology has made it possible for platforms to automatically detect known child sexual abuse materials (CSAM) to stop kids from being retraumatized online. However, rapidly detecting new or unknown CSAM remained a bigger challenge for platforms as new victims continued to be victimized. Now, AI may be ready to change that.

    Today, a prominent child safety organization, Thorn, in partnership with a leading cloud-based AI solutions provider, Hive, announced the release of an AI model designed to flag unknown CSAM at upload. It's the earliest AI technology striving to expose unreported CSAM at scale.

    An expansion of Thorn's CSAM detection tool, Safer , the new "Predict" feature uses "advanced machine learning (ML) classification models" to "detect new or previously unreported CSAM and child sexual exploitation behavior (CSE), generating a risk score to make human decisions easier and faster."

    Read full article

    Comments

    • tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn tagai tagai tagai tagpolicy tagpolicy tagpolicy tagai models tagai models tagai models tagchild sex abuse materials tagchild sex abuse materials tagchild sex abuse materials tagcontent moderation tagcontent moderation tagcontent moderation tagcsam tagcsam tagcsam taghive taghive taghive tagmachine learning tagmachine learning tagmachine learning tagonline child safety tagonline child safety tagonline child safety tagthorn tagthorn tagthorn

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