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新型AI技术帮助保险公司识别假冒索赔

近日,市场中出现了一种新型人工智能系统,声称可以帮助保险公司和警方识别假冒抢劫案索赔。

这款名为“VeriPol”的人工智能系统由卡迪夫大学和马德里查理三世大学的研究人员共同开发,利用自动文本分析和机器学习来识别虚假陈述,比如被盗的物品种类,对所谓“袭击者”的描述,甚至是事件的“更精细点”。开发人员声称,VeriPol的验证过程非常准确,“准确率超过80%”。

研究人员补充说,假冒声明有很多特质,比如关注被抢物品而不是事件本身,缺乏有关攻击者的细节描述,缺乏证人以及无法在事件发生后立即联系执法部门或医疗专业人员等。

据悉,小工具和其他类似的高端产品(如iPhone和三星手机)通常是虚假索赔的重灾区,而珠宝和自行车才是在真实抢劫案件中经常出现的被盗物品。

据ZDNet报道,西班牙的一些执法机构正在使用VeriPol。西班牙国家警察甚至已经利用这个人工智能工具分析了1000多份警察报告。

A new artificial intelligence system can now help insurers and the police identify fake robbery claims.

Developed by researchers from Cardiff University and the Charles III University of Madrid, the AI system “VeriPol” utilizes automatic text analysis and machine learning to identify false statements. The developers claim that VeriPol is quite accurate with its verification process, “with over 80% accuracy.”

The AI tool is capable of analyzing written statements to recognize patterns which are typically associated with false statements. Statements the AI looks out for include the kinds of items allegedly stolen, the descriptions given of the purported attackers, and even the “finer points” of an incident, the researchers explained.

The researchers added that the common themes that indicate that a robbery claim is fake include a focus on the items stolen rather than the incident itself, lack of detail from the reporter suggesting fabrication, limited details about the attacker, lack of witnesses, and a failure to contact either law enforcement or a medical professional immediately after the incident.

Gadgets and other similar high-end items such as iPhones and Samsung phones were often associated with fake reports, while jewelry and bicycles are usually the items reported stolen in real robbery cases.

Several law enforcement agencies in Spain are now using VeriPol, ZDNet reported. The Spanish National Police even conducted a trial of the AI tool, letting it analyze more than 1,000 police reports.

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