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隐私的进化与革命:AI时代的风险管理.pdf

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1、(r)Evolution Privacy:Managing Privacy Risks in the Age of AIDavid RayChief Privacy Officer,BigIDAaron Weller,Leader,Global Privacy Engineering Center of Excellence,HPLiz Hein,Vice President for Compliance and Data Protection,FoursquareAlex Schlight,Partner,Hintze LawWELCOME AND INTRODUCTIONSDifferen

2、t AI Approaches Across the Globe*Courtesy of IAPPUS:Federal:-AI Executive Order and draft OMB memo.-AI Bill of Rights.-FTC,Agencies Joint Statement.-Enforcement Actions(FTC,CFPB).State:-State AI EOs.-State AI Laws:UT AI Policy Act.NYC AEDT.IL AI Video Interview Act.MD Prohibition on Use of Facial Re

3、cognition Services.EU:Comprehensive AI Act.SingaporeAI Verify-toolkit to ensure compliance with AI ethics.BrazilComprehensive AI Bill.ChinaDraft AI Regulation.Canada:AI&Data Act,pending,June 2022.Steps for AI&Privacy GovernancePractical steps from Engineering,Privacy,and Outside Counsel:-Step 1:Unde

4、rstand AI Basics.-Step 2:Determine Applicable Laws&Frameworks.-Step 3:Develop an AI Governance Structure.-Step 4:Know Your AI,Data,and Use Cases.-Step 5:Evaluate the Risks Associated with AI.-Step 6:Provide Ongoing Oversight.Just Get Started:Immediate next-steps to take home today.Step 1:Understand

5、AI BasicsDefinitions of“AI”may differ across laws,jurisdictions,organizations,and even teams.What separates AI from Non-AI systems?Further analysis is required once an entity establishes that an AI system or tool is involved in the process.For instance,what type of AI system is deployed?Is it a trad

6、itional AI system,or does it involve a GenAI model,such as ChatGPT and CoPilot?Algorithm analogy:“Three sheep in a raincoat.”Credit:Dall-E 2Step 2:Determine Applicable Laws&FrameworksPrinciplesG7 Leaders 11 Guiding Principles and a Code of Conduct on AI;G20 AI Principles;OECD AI Principles.Framework

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本文主要讨论了在人工智能(AI)时代如何管理隐私风险。文章指出,全球不同地区对AI采取了不同的法律和原则,如G7和G20的AI指导原则,OECD的AI原则,以及各国如欧盟、新加坡、巴西和中国等地的AI法案。为了有效管理隐私风险,文章提出了六个步骤,包括了解AI基础知识、确定适用法律和框架、建立AI治理结构、了解AI、数据和用例、评估与AI相关的风险以及提供持续监督。文章还提供了一系列资源,以帮助组织在其AI实践中取得成功。最后,文章强调了定期审查和调整AI实践的重要性。
"如何有效管理隐私风险?" "AI治理结构如何构建?" "AI应用中的数据输入输出如何分析?"
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