Course Code: airms
Duration: 7 hours
Prerequisites:
  • 在政府机构中具有IT运营、风险管理、网络安全或合规经验
  • 熟悉组织安全实践和数字服务交付
  • 无需具备AI系统的技术专业知识

受众

  • Go涉及数字服务和系统集成的政府IT团队
  • 公共机构中的网络安全和风险专业人员
  • 公共部门审计、合规和治理人员
Overview:

Artificial Intelligence (AI) 为政府机构和部门引入了新的运营风险维度、治理挑战和网络安全暴露。

本课程为讲师主导的培训(线上或线下),面向公共部门的IT和风险专业人士,他们此前对AI经验有限,但希望了解如何在政府或监管环境中评估、监控和保护AI系统。

在本培训结束时,参与者将能够:

  • 解释与AI系统相关的关键风险概念,包括偏见、不可预测性和模型漂移。
  • 应用AI特定的治理和审计框架,如NIST AI RMF和ISO/IEC 42001。
  • 识别针对AI模型和数据管道的网络安全威胁。
  • 建立跨部门的风险管理计划和政策对齐,以支持AI部署。

课程形式

  • 互动讲座和公共部门用例讨论。
  • AI治理框架练习和政策映射。
  • 基于场景的威胁建模和风险评估。

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:

理解Go政府環境中的AI特定風險

  • AI風險與傳統IT和數據風險的區別
  • AI風險的類別:技術、運營、聲譽和倫理
  • 政府中的公共問責和風險感知

AI Risk Management框架

  • NIST AI Risk Management框架 (AI RMF)
  • ISO/IEC 42001:2023 — AI Management系統標準
  • 其他特定行業和國際指南(如OECD, UNESCO)

AI系統的安全威脅

  • 對抗性輸入、數據中毒和模型反轉
  • 敏感訓練數據的暴露
  • 供應鏈和第三方模型風險

Go治理、審計和控制

  • 人機協作和問責機制
  • 可審計的AI:文檔、版本控制和可解釋性
  • 內部控制、監督角色和合規檢查點

風險評估和緩解計劃

  • 為AI用例建立風險登記冊
  • 與採購、法律和服務設計團隊合作
  • 進行部署前和部署後的評估

事件響應和公共部門的韌性

  • 應對AI相關事件和漏洞
  • 與利益相關者和公眾溝通
  • 將AI風險實踐嵌入網絡安全應對手冊

總結和下一步

Sites Published:

United Arab Emirates - AI Risk Management and Security in the Public Sector

Qatar - AI Risk Management and Security in the Public Sector

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