新南威尔士大学的一项研究发现，当人工智能聊天机器人被设定为“醉酒”状态时，它们更有可能回答有害问题或误处理敏感信息。这些机器人仅通过简单的角色扮演指令就绕过了原有的安全防护机制。研究人员呼吁在将这些聊天机器人投入实际使用之前进行更严格的测试。
A University of New South Wales study found that AI chatbots given a 'drunk' persona are more likely to answer harmful questions and mishandle confidential information. The models bypassed safety guardrails simply through role-play style prompts. Researchers are calling for more rigorous testing before deployment.
新南威尔士大学的研究人员测试了人工智能聊天机器人在被指令模拟“醉酒”状态时的行为。研究发现，处于这种状态下的机器人更有可能回答那些它们通常会拒绝回答的有害问题，同时也更有可能误处理敏感信息。
Researchers at the University of New South Wales tested how artificial intelligence chatbots behave when instructed to act drunk. The study found that models given a 'drunk' persona were more likely to answer harmful questions they would normally refuse, and more likely to mishandle confidential information.
这一发现引发了人们对于以下问题的担忧：人工智能系统中内置的安全防护机制是否真的能够通过简单的角色扮演指令就被轻易绕过？（而非通过复杂的技术攻击手段（如黑客攻击）？目前，许多企业都依赖人工智能工具来严格管理敏感数据和内容。
The findings raise questions about how easily safety guardrails built into AI systems can be bypassed through simple persona-style prompts, rather than sophisticated technical attacks. Businesses increasingly rely on AI tools to enforce strict rules around sensitive data and content.
研究人员建议，在将人工智能模型投入实际应用之前，必须对其对角色扮演指令的反应进行更严格的测试。那些使用聊天机器人提供客户服务或内部支持的公司可能需要对其系统进行安全审计，以检查是否存在类似的漏洞。
The researchers are calling for more rigorous testing of how AI models respond to role-play and persona prompts before deployment. Companies using chatbots for customer service or internal tools may need to audit their systems for similar vulnerabilities.
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