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AI 治理 101.pdf

上传人: le****ng 编号:616669 2025-03-07 24页 2.97MB

1、AI AI Governance Governance 101101 Introduction QuestionsIntroduction Questionshttps:/app.sli.do/event/wv48oKiKCcRXuvRN5QcpvoWhat is AI What is AI Governance?Governance?AI regulations are realAI regulations are real Responsible AI Principles AI legislation Academic Research Standards Development Def

2、ining AI GovernanceDefining AI Governancehttps:/oecd.ai/en/ai-principles/Civil society Industry Academia Government/policy makers Relevant SMEsMultiMulti-stakeholder processesstakeholder processesScoping AI Scoping AI Governance Governance AI governance is needed for AI governance is needed for Peop

3、leOrganizationsSystemsAI governance for OrganizationsAI governance for OrganizationsPeopleOrganizationsSystemsOrganizations build,buy,or sell AIAI governance for SystemsAI governance for SystemsPeopleOrganizationsSystemsTechnical oversight including the data,models,and context in which the AI system

4、 is being built and usedAI governance for PeopleAI governance for PeoplePeopleOrganizationsSystemPeople designing,developing,using,or deploying AI AI governance is a team sport AI governance is a team sport Relevant DomainsAI developmentData engineering Data management PrivacyData,systems,and applic

5、ation architecture Cybersecurity Tech policy development Regulatory compliance Application managementBoard governance Technology managementTechnology auditsAssurance Intellectual propertyCompetitionConsumer protection Data managementPolicy and ComplianceProduct ManagementCybersecurity PrivacyHuman R

6、ights/EthicsDesigning and Designing and Developing AI Developing AI Governance Governance Whats your organizations role in the AI supply chain?What type of AI are you building or using?Is it high-risk?Do you know the risks/impacts/harms?Design considerationsDesign considerations Who/what teams need

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本文主要介绍了AI治理(AIGovernance)的相关概念、原则、法规、研究以及标准发展等内容。AI治理是确保AI负责任使用的多利益相关方过程,涉及民间社会、行业、学术界、政府/政策制定者以及相关中小型企业。AI治理的目标是为组织、系统和人员提供指导,涵盖AI开发、数据工程、数据管理、隐私以及系统与应用架构、网络安全、技术政策发展、合规管理等多个领域。治理过程中,需要考虑组织在AI供应链中的角色、AI的类型及风险、设计开发过程中的政策与流程、以及所需的技术和知识补充。此外,文章还提到了一些具体的工具和资源,如治理董事会、外部咨询董事会、培训和认证等,并强调了建立最佳实践、指数、解释性指南、报告和社区活动的重要性。最后,文章鼓励人们积极获取和利用这些资源,与同行和社区合作,共同推动AI治理的发展。
如何构建与实施?" 我如何参与?" 哪些最适合我的组织?"
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