马什公司（Marsh）的艺术品保险经纪人奥利维亚-埃克尔斯顿（Olivia Eccleston）解释说："聊天机器人和大型语言模型现在正在帮助骗子伪造销售发票、估价、出处文件和鉴定证书。"
其中一些伪造是蓄意的，而另一些则是人工智能模型在被要求搜索历史数据库时生成的似是而非的虚假信息。
这些错误可以被当作经过核实的事实提交给保险公司。
Angelina Giovani 是出处研究机构 Flynn & Giovani 的联合创始人，她说，人工智能让造假变得更容易，因为 "它很有默契......它必须想出一个答案，所以如果你给它足够多的信息，它就会猜到一些东西。"
她描述了一个案例，人工智能系统似乎在一幅画上创建了一个签名，以支持捏造的历史。
在艺术界，造假并不是什么新鲜事。
保险公司豪顿（Howden）的艺术品主管菲利波-盖里尼-马拉尔迪（Filippo Guerrini-Maraldi）说，虽然他在职业生涯中见过许多伪造文件，但现在的自动化系统使伪造文件更加精致和逼真。
安吉丽娜强调了伪造分类账号码和伪造纳粹时期邮票的例子，并指出臭名昭著的沃尔夫冈-贝尔特拉奇（Wolfgang Beltracchi）曾创作了数百幅画作，并使用伪造的照片来构建令人信服的所有权历史。
人工智能只是加速并完善了这些由来已久的方法。
人工智能生成的伪造文件越来越难以识别。
艺术品估价公司 Gurr Johns 的执行主席哈里-史密斯（Harry Smith）指出：
"现在，人工智能让欺诈变得更快，因为人们不再需要编造一个假专家来支持他们的主张。该工具可以生成他们想要的任何支持文本。"
Sedgwick公司的艺术品损失理算师Grace Best-Devereux说，她经常检查数字文档中的元数据，以发现人工智能干扰的迹象，并使用内部系统来评估出处的真实性。
但她警告说：
"我们正处于一个悬崖边上，我可能无法看着它说：'文字看起来不对，我需要进一步调查'。各行各业都在使用聊天机器人和人工智能工具来伪造官方文件，从销售发票到法律记录，这引起了依赖准确文件的保险公司和企业的担忧。
人工智能生成文件的复杂性模糊了真假文件之间的界限，有可能导致经济损失和声誉受损。
随着人工智能的不断发展，验证真实性和出处的任务变得更具挑战性。
业内专业人士呼吁加强验证流程和数字认证技术，以发现和防止人工智能辅助的欺诈行为。
虽然人工智能有很多好处，但它在艺术品和文件伪造方面的滥用也给保险公司、画廊和收藏家带来了紧迫的问题。
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