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LLM 和生成式人工智能在敏感数据处理中的应用——在高度监管的行业中应对安全、责任和陷阱.pdf

上传人: 竿*** 编号:981454 2025-11-29 38页 3.99MB

1、LLM and Generative AI for Sensitive Data-Navigating Security,Responsibility,and Pitfalls in Highly Regulated IndustriesStefania Chaplin&Azhir MStefania Chaplin devstefopsSolutions ArchitectAzhir Mahmoodazhir.mAI Research Scientist GenAI is Revolutionising the WorldGen-AI in Science&EngineeringDesign

2、 Optimisation Meet AIGenerative AI in Business Meet Lilli,our generative AItool for employeesAugust 2023Lilli“leverages our entire body of knowledge and assets to drive new levels of productivity”-Jacky Wright,CTOPreviously,“identifying analogues”or“comparables”could take days of chasing down the ri

3、ght experts.“unleashed the creative potential in our people helping clients in ways we never anticipated”ContractMatrix,streamlines contract drafting,review and analysis.It has been developed in partnership with Microsoft and Harvey.Tested and perfected by over 1,000 A&O lawyersFollowing launch at t

4、he end of 2023 is now being licenced to clients.What are Highly Regulated Industries and Types of Sensitive DataWhat are Highly Regulated Industries?Regulated industries face strict government oversight,compliance requirements,and adherence to standards and laws to ensure consumer protection,public

5、safety,fair competition,and environmental conservation.Some examples of such industries include:1.Finance 2.Medical/Pharmaceutical 3.Defence,Government 4.Utilities Types of Sensitive DataThe A.I.Legislation LandscapeTimeline of Relevant Legislations2018EU GDPREU AI Act Proposal2021Algorithmic Accoun

6、tability Act2023Stop Discrimination by Algorithm Act2023Draft Resolution A/78/L.4921st March2024Pro-Innovation Approach to AI Regulation 6thFebruary2024Artificial IntelligenceHL Bill 112023Areas in the world that have passed legislation“How to AI?”What is MLOps When Things Go WrongAI Going RogueSecu

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1. **AI革命与高度监管行业**:人工智能(AI)正在改变世界,特别是在科学、工程、商业等领域,如Lilli工具提高生产力。 2. **高度监管行业与敏感数据**:高度监管行业(如金融、医疗、国防)处理敏感数据,需遵守严格法规。 3. **AI法规发展**:从2018年欧盟通用数据保护条例(GDPR)到2023年的《停止算法歧视法案》,AI法规不断演进。 4. **负责任AI原则**:发展AI应遵循公平、透明、隐私和安全等原则,确保对社会有益且符合人类价值观。 5. **安全AI**:采用安全最佳实践,如访问控制、输入输出验证和供应链验证,以保护AI系统。 6. **可解释AI(XAI)**:使用工具和框架来理解AI模型的决策,提高透明度和信任。 7. **AI未来**:AI将更普遍地应用于各行业,并受到更多监管,负责任框架将成为标准。
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