标题： 生成式人工智能模型：对工业和监管机构的机遇与风险 显示英文标题

标题： Generative AI Models: Opportunities and Risks for Industry and Authorities

摘要： 生成式AI模型能够执行传统上需要创造力和人类理解的各种任务。 在训练过程中，它们从现有数据中学习模式，并随后生成与这些模式一致的新内容，例如文本、图像、音频和视频。 由于其多功能性和通常高质量的结果，它们一方面为数字化提供了机会。 另一方面，生成式AI模型的使用引入了新的IT安全风险，这些风险必须作为IT安全威胁环境全面分析的一部分来考虑。 为了应对这种风险潜力，打算使用生成式AI的公司或机构应在将其集成到工作流程之前进行单独的风险分析。 开发人员和运营商也适用同样的情况，因为许多与生成式AI相关的风险必须在开发过程中解决，或者只能由运营组织进行影响。 基于此，可以调整现有的安全措施，并实施额外的措施。 显示英文摘要

摘要： Generative AI models are capable of performing a wide variety of tasks that have traditionally required creativity and human understanding. During training, they learn patterns from existing data and can subsequently generate new content such as texts, images, audio, and videos that align with these patterns. Due to their versatility and generally high-quality results, they represent, on the one hand, an opportunity for digitalisation. On the other hand, the use of generative AI models introduces novel IT security risks that must be considered as part of a comprehensive analysis of the IT security threat landscape. In response to this risk potential, companies or authorities intending to use generative AI should conduct an individual risk analysis before integrating it into their workflows. The same applies to developers and operators, as many risks associated with generative AI must be addressed during development or can only be influenced by the operating organisation. Based on this, existing security measures can be adapted, and additional measures implemented.