- 了解企業風險、法律或技術框架
- 具備執行領導、網絡安全或合規監督的經驗
- 無需具備AI開發的技術知識
受眾
- 首席信息安全官 (CISOs)
- 法律顧問與合規官
- 首席技術官 (CTOs)
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。
AI在企業中的應用：戰略與法律視角
- AI在核心業務功能中的應用：機遇與風險
- 高層管理人員在AI治理中的責任
- 高風險AI系統與組織暴露
AI風險分類與全球監管環境
- EU AI法案：風險等級、要求與處罰
- 美國AI行政命令與新興聯邦/州法規
- AI相關合規性：包括GDPR、HIPAA及其他框架
- ISO/IEC 42001、NIST AI RMF、OECD AI原則概述
AI系統的安全與監管
- AI安全態勢：威脅、漏洞與防護措施
- AI驅動工作流程中的事件應對與違規通知
- 模型輸入、決策與輸出的審計與追溯
負責任的AI採購與供應商風險
- 採購AI工具時的盡職調查（包括LLMs與APIs）
- 關鍵合同要素：數據所有權、模型可解釋性、SLAs
- 評估供應商聲明：偏見緩解、隱私保證、安全性
內部Go治理框架與組織控制
- 制定跨部門的AI使用政策
- 倫理委員會、風險審查委員會與跨職能監管
- 培訓、文件與合規整合
Use Case評估與風險情境
- 評估高影響用例（如HR篩選、財務評分、客戶服務機器人）
- AI風險評估的工具與模板
- 情境：錯位、漂移、幻覺、歧視
新興趨勢與未來考量
- 預期監管演變與全球趨同
- GenAI特定風險與治理擴展
- 企業中AI操作的負責任擴展
總結與下一步
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