利用Ai诈骗的具体案例

Require that developers of the most powerful AI systems share their safety test results and other critical information with the U.S.government.In accordance with the Defense Production Act,the Order will require that companies developing any foundation model that poses a serious risk to national security,national economic security,or national public health and safety must notify the federal government when training the model,and must share the results of all red-team safety tests.These measures will ensure AI systems are safe,secure,and trustworthy before companies make them public.Develop standards,tools,and tests to help ensure that AI systems are safe,secure,and trustworthy.The National Institute of Standards and Technology will set the rigorous standards for extensive red-team testing to ensure safety before public release.The Department of Homeland Security will apply those standards to critical infrastructure sectors and establish the AI Safety and Security Board.The Departments of Energy and Homeland Security will also address AI systems’ threats to critical infrastructure,as well as chemical,biological,radiological,nuclear,and cybersecurity risks.Together,these are the most significant actions ever taken by any government to advance the field of AI safety.Protect against the risks of using AI to engineer dangerous biological materials by developing strong new standards for biological synthesis screening.Agencies that fund life-science projects will establish these standards as a condition of federal funding,creating powerful incentives to ensure appropriate screening and manage risks potentially made worse by AI.Protect Americans from AI-enabled fraud and deception by establishing standards and best practices for detecting AI-generated content and authenticating official content.The Department of Commerce will develop guidance for content authentication and watermarking to clearly label AI-generated content.Federal agencies will use these tools to make it easy for Americans to know that the communications they receive from their government are authentic—and set an example for the private sector and governments around the world.

按照下面的法律意见书模板，为上面的内容生成法律意见书，提供【文书模板】5.Promopt结构提示：【案件背景+事实细节描述+立场目的+重点参考法条or某种观点+文本格式】其他可以尝试的场景：量刑预测（刑事）1.Prompt指令词：针对一起涉及商业贿赂的刑事案件，模拟不同辩护策略下可能的量刑结果，对比并推荐最佳辩护策略。2.预计效果：AI会根据既往类似案件的判决结果、现行刑法规定以及多种可能的辩护策略，预测不同的策略下可能的判决结果，帮助律师制定最优辩护方案。3.其他例子：（1）Prompt指令词：针对一起网络诈骗案件，模拟不同辩护策略下的量刑结果，包括认罪协商和无罪辩护的可能性，为客户提供最佳辩护方案。（2）Prompt指令词：为一起商业合同纠纷案件设计诉讼策略，包括选择适当的法院、收集关键证据和准备证人陈述，以提高胜诉几率。（3）Prompt指令词：模拟一场涉及知识产权侵权的法庭辩论，分析原告和被告双方可能的论点和反驳策略，预测案件可能的判决结果，为客户提供策略建议。其他可以尝试的场景：诉讼策略1.Prompt指令词：针对一起涉及商标侵权的案件，分析原告的商标权利范围和被告的潜在侵权行为，提出诉讼策略，包括主张的权利要求、证据收集的重点、可能的法律抗辩以及和解或调解的可能性。2.预计效果：

5.2.1诈骗罪目前世界范围内有据可查的第一起利用“AI换脸”技术的电信诈骗案发生在2019年。2019年3月，某国际能源公司首席执行官接到了一个未知来电，很快，他就认出了电话那头的人——德国母公司的CEO，也是他的顶头上司。在这通电话中，母公司CEO表示当前公司出现运营危机，急需世界各地分公司紧急提供220000欧元或243000美元的资金支援，随后这位母公司CEO提供了一个匈牙利的银行账户，并宣称该笔资金需要直接支付给某匈牙利供应商，母公司将在资金周转过来后为分公司报销这笔支出。虽然该指示听起来不是既不合规又不靠谱，又涉及如此大的一笔资金流转，但被害人考虑再三还是选择了执行命令，原因很简单：电话里的声音确实是自己的顶头上司无误，甚至连那标志性的轻微德国口音和语气习惯都与自己老板平时说话时毫无区别。至此，虽然受害人还有所怀疑，但依然向“老板”电话中提供的匈牙利账户完成了转账。在这起案件中，被转出的资金从匈牙利流向墨西哥，然后再被分散到其他地方，截至2023年5月，涉案资金仍未追回。