Course Code: aigovcomsec
Duration: 14 hours
Prerequisites:
  • 了解企业风险、法律或技术框架
  • 具备执行领导、网络安全或合规监督的经验
  • 无需具备AI开发的技术知识

受众

  • 首席信息安全官 (CISOs)
  • 法律顾问与合规官
  • 首席技术官 (CTOs)
Overview:

AI治理是指在企业环境中部署AI时,对法律、伦理、安全和操作风险进行战略性管理。

本次由讲师指导的培训(线上或线下)面向中级企业领导者,旨在帮助他们了解如何负责任地治理和保护AI系统,并符合新兴的全球框架,如欧盟AI法案、GDPR、ISO/IEC 42001和美国AI行政命令。

通过本次培训,参与者将能够:

  • 了解跨部门使用AI的法律、伦理和监管风险。
  • 解读并应用主要的AI治理框架(欧盟AI法案、NIST AI RMF、ISO/IEC 42001)。
  • 为企业中的AI部署建立安全、审计和监督政策。
  • 制定第三方和内部AI系统的采购和使用指南。

课程形式

  • 互动式讲座和讨论。
  • 大量练习和实践。
  • 在实验室环境中进行实际操作。

课程定制选项

  • 如需为本课程定制培训,请联系我们安排。
Course Outline:

AI在企业中的应用:战略与法律视角

  • AI在核心业务功能中的应用:机遇与风险
  • 高层管理人员在AI治理中的责任
  • 高风险AI系统与组织暴露

AI风险分类与全球监管环境

  • EU AI法案:风险等级、要求与处罚
  • 美国AI行政命令与新兴联邦/州法规
  • AI相关合规性:包括GDPR、HIPAA及其他框架
  • ISO/IEC 42001、NIST AI RMF、OECD AI原则概述

AI系统的安全与监管

  • AI安全态势:威胁、漏洞与防护措施
  • AI驱动工作流程中的事件应对与违规通知
  • 模型输入、决策与输出的审计与追溯

负责任的AI采购与供应商风险

  • 采购AI工具时的尽职调查(包括LLMs与APIs)
  • 关键合同要素:数据所有权、模型可解释性、SLAs
  • 评估供应商声明:偏见缓解、隐私保证、安全性

内部Go治理框架与组织控制

  • 制定跨部门的AI使用政策
  • 伦理委员会、风险审查委员会与跨职能监管
  • 培训、文件与合规整合

Use Case评估与风险情境

  • 评估高影响用例(如HR筛选、财务评分、客户服务机器人)
  • AI风险评估的工具与模板
  • 情境:错位、漂移、幻觉、歧视

新兴趋势与未来考量

  • 预期监管演变与全球趋同
  • GenAI特定风险与治理扩展
  • 企业中AI操作的负责任扩展

总结与下一步

Sites Published:

United Arab Emirates - AI Governance, Compliance, and Security for Enterprise Leaders

Qatar - AI Governance, Compliance, and Security for Enterprise Leaders

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