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欧洲数据保护委员会:2025大型语言模型(LLM)数据保护风险和缓解指南(中译版)(102页).pdf

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1、AI Privacy Risks&Mitigations Large Language Models(LLMs)AI Privacy Risks&Mitigations Large Language Models(LLMs)By Isabel BARBER SUPPORT POOL OF EXPERTS PROGRAMME AI Privacy Risks&Mitigations Large Language Models(LLMs)2 As part of the SPE programme,the EDPB may commission contractors to

2、 provide reports and tools on specific topics.The views expressed in the deliverables are those of their authors and they do not necessarily reflect the official position of the EDPB.The EDPB does not guarantee the accuracy of the information included in the deliverables.Neither the EDPB nor any per

3、son acting on the EDPBs behalf may be held responsible for any use that may be made of the information contained in the deliverables.Some excerpts may be redacted or removed from the deliverables as their publication would undermine the protection of legitimate interests,including,inter alia,the pri

4、vacy and integrity of an individual regarding the protection of personal data in accordance with Regulation(EU)2018/1725 and/or the commercial interests of a natural or legal person.Document submitted in February 2025,updated in March 2025 AI Privacy Risks&Mitigations Large Language Models(LLMs)

5、3 TABLE OF CONTENTS:1.How To Use This Document.4 Structure and Content Overview.4 Guidance for Readers.5 2.Background.6 What Are Large Language Models?.6 How Do Large Language Models Work?.6 Emerging LLM Technologies:The Rise of Agentic AI.12 Common Uses of LLM Systems.15 Performance Measures for LL

6、Ms.18 3.Data Flow and Associated Privacy Risks in LLM Systems.24 The Importance of the AI Lifecycle in Privacy Risk Management.24 Data Flow and Privacy Risks per LLM Service Model.26 Roles in LLMs Service Models According to the AI Act and the GDPR.43 4.Data Protection and Privacy Risk Assessment:Ri

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本文主要介绍了大型语言模型(LLM)的隐私风险与缓解措施。文章首先介绍了LLM的定义、工作原理和常见应用,包括聊天机器人、内容生成、语言翻译、情感分析等。接着,文章探讨了LLM在训练、推理和反馈循环阶段可能出现的隐私风险,如数据泄露、错误决策和偏见。然后,文章详细介绍了如何识别、评估和控制LLM的隐私风险,包括风险识别、风险评估和风险控制。最后,文章提供了三个LLM系统风险评估的实际案例,并引用了相关的工具、方法、基准和指导。
大型语言模型如何工作? 大型语言模型有哪些应用? 如何评估大型语言模型的性能?
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