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Fighting Global Phone Scams with Conversational AI

Fighting Global Phone Scams with Conversational AI
利用对话式人工智能打击全球电话诈骗
批准号:
NI220100105
负责人:
Prof Dali Kaafar
金额:
$47.53万
依托单位:
依托单位国家:
澳大利亚
项目类别:
National Intelligence and Security Discovery Research Grants
财政年份:
2022
资助国家:
澳大利亚
项目状态:
未结题
起止时间:
2022-11-21 至 2025-11-20

项目摘要

项目成果

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中文摘要
翻译
该项目旨在解决日益严重的公众电话诈骗威胁,方法是将诈骗电话转接给经过优化的会话人工智能机器人,以呈现令人信服的诈骗受害者。诈骗电话对公众和行业都造成了重大的经济损失。通过利用、结合和创新对话人工智能和语音克隆技术的最新进展,该项目预计将开发出新的人工智能模型和训练方法,能够生产出与实际骗局受害者无法区分的“受害者机器人”。如果大部分诈骗电话都打给了这些机器人,那么诈骗者的大部分时间都将花在没有利润的机器人上,这将使诈骗商业模式失效,并破坏诈骗者的生态系统。
英文摘要
This project aims to address the increasing public menace of phone scams through redicting scam calls to coversational AI bots optimised to present convincing scam victims. Scam calls cause significant financial loss, both to the pubic and to industry. By leveraging, combining and innovating on recent advances in conversational AI and voice cloning technologies, this project expects to develop novel AI models and training methods capable of producing "victim bots" indistinguishable from actual scam victims. Should a large proportion of scam calls be directed to these bots, much of a scammers time would be spent with the bots without profit, invalidating the scam business model and crippling the scammer ecosystem.
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Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
磁层亚暴触发过程的全球(global)MHD-Hall数值模拟