标题： 通用人工智能模型当前部署中的基本风险：我们从网络安全中学到了什么（或未学到什么）？ 显示英文标题

标题： Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?

摘要： 通用人工智能 - 如大型语言模型（LLMs） - 在各种使用场景中得到了快速部署。 最令人惊讶的是，它们已经从普通的语言模型发展到聊天机器人，甚至达到了几乎像“操作系统”一样的状态，可以控制应用程序的决策和逻辑。 工具使用、微软协同程序/办公集成以及OpenAIs Altera只是自主性、数据访问和执行能力增强的几个例子。 这些方法带来了一系列网络安全挑战。 我们强调了我们在评估方面所做的工作，并概述了未来的机遇和挑战。 显示英文摘要

摘要： General Purpose AI - such as Large Language Models (LLMs) - have seen rapid deployment in a wide range of use cases. Most surprisingly, they have have made their way from plain language models, to chat-bots, all the way to an almost ``operating system''-like status that can control decisions and logic of an application. Tool-use, Microsoft co-pilot/office integration, and OpenAIs Altera are just a few examples of increased autonomy, data access, and execution capabilities. These methods come with a range of cybersecurity challenges. We highlight some of the work we have done in terms of evaluation as well as outline future opportunities and challenges.