Enterprise-Wide AI Risk Management (Ew-Airm): A Practical Framework for Managing AI Risks in Any Organisation
暫譯: 全企業 AI 風險管理（Ew-Airm）：適用於任何組織的 AI 風險管理實務框架

Krebsz, Markus

Enterprise-Wide AI Risk Management (Ew-Airm): A Practical Framework for Managing AI Risks in Any Organisation
  • 出版商: Wiley
  • 出版日期: 2026-11-17
  • 售價: $2,660
  • 貴賓價: 9.5 折 $2,527
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394446470
  • ISBN-13: 9781394446476
  • 相關分類: 管理與領導 Management-leadership

    • 尚未上市，無法訂購

商品描述

A structured governance framework for managing AI risk across your entire organization

Enterprise-Wide AI Risk Management (EW-AiRMTM): A Practical Framework for Managing AI Risks in any Organisation, by Prof. Markus Krebsz, introduces a multi-layered governance framework forged from five years of United Nations participatory AI policy development and over thirty years of risk management experience. EW-AiRMTM augments existing ERM frameworks like ISO 31000, COSO, and the UK Orange Book with AI-specific governance capabilities.

The book presents a risk taxonomy drawn from more than 1,700 categorised AI risks across seven evidence-based domains and 24 sub-domains, alongside over 800 risk mitigation controls organised into four actionable quadrants. Six foundational pillars establish governance prerequisites before AI deployment, while the HAiPECR ethical filter keeps human accountability central to every governance decision.

Readers will also find:

  • A resilience framework designed to prepare organisations for AI Black Swan events that cannot be fully anticipated in advance
  • Practical guidance on extending existing enterprise risk management structures rather than replacing them with entirely new governance architectures
  • A risk taxonomy spanning seven domains and 24 sub-domains built from over 1,700 categorised AI risk scenarios
  • The HAiPECR ethical framework, hosted on the OECD.AI tool website, embedding human accountability into every governance decision

Written for Chief Risk Officers, board members, compliance leaders, data scientists, and senior executives making AI deployment decisions, this book delivers a field-tested governance framework that addresses the AI-specific risks existing enterprise risk management structures were never designed to handle.

商品描述(中文翻譯)

一套用於管理整個組織 AI 風險的結構化治理框架

《Enterprise-Wide AI Risk Management (EW-AiRM™)：管理任何組織 AI 風險的實務框架》由 Markus Krebsz 教授撰寫，介紹一套多層次治理框架。這套框架源自五年參與聯合國 AI 政策制定的經驗，以及超過三十年的風險管理實務經驗。EW-AiRM™ 在 ISO 31000、COSO 與英國 Orange Book 等既有企業風險管理（ERM）框架的基礎上，增添專為 AI 設計的治理能力。

本書提出一套風險分類法，涵蓋七個以證據為基礎的領域與 24 個子領域，整理自超過 1,700 項已分類的 AI 風險；此外，也介紹超過 800 項風險緩解控制措施，並將其組織為四個可採取行動的象限。六大基礎支柱在部署 AI 前建立治理所需的前提條件，而 HAiPECR 道德篩選機制則確保人類問責制始終是每項治理決策的核心。

讀者還可以了解：

• 一套韌性框架，協助組織為無法事先完全預測的 AI 黑天鵝事件做好準備
• 如何擴充既有的企業風險管理架構，而非以全新的治理架構全面取代原有結構的實務指南
• 涵蓋七個領域與 24 個子領域的風險分類法，建構自超過 1,700 個已分類的 AI 風險情境
• 發布於 OECD.AI 工具網站上的 HAiPECR 道德框架，將人類問責制融入每項治理決策

本書專為首席風險官、董事會成員、法遵主管、資料科學家，以及負責做出 AI 部署決策的高階主管撰寫，提供一套經過實務驗證的治理框架，處理既有企業風險管理結構從未被設計來應對的 AI 特有風險。

作者簡介

MARKUS KREBSZ is the creator of the EW-AiRM framework, founding director of the Human-Ai.Institute, and Honorary Professor at the University of Stirling. He led the development of the UNECE Declaration on the technical regulation of products/services with embedded artificial intelligence (ECE/TRADE/486), published by the United Nations and open for signature by government agencies worldwide, and created the HAiPECR(TM) ethical filter, featured in the OECD.AI Catalogue of Tools & Metrics. He served as a member of the European AI Office's expert group and of all four working groups that drafted the EU General-Purpose AI Code of Practice, serves on the supervisory council of a European bank since 2017, and is a StandICT.eu Standards Maker and a working group member of IEEE P7007.1, the Ontological Standard for Addressing Risks in AI Systems. With over thirty years of experience across capital markets, banking, structured finance, and FinTech, he has authored or edited more than twenty-five publications in the risk and governance domain. Learn more at www.ewairm.com.

作者簡介(中文翻譯)

MARKUS KREBSZ 是 EW-AiRM framework 的創建者、Human-Ai.Institute 的創辦主任，也是 University of Stirling 的榮譽教授。他主導制定 UNECE 關於具嵌入式人工智慧之產品／服務技術法規的宣言（ECE/TRADE/486），該宣言由 United Nations 發布，並開放全球政府機構簽署；他也創建了 HAiPECR(TM) ethical filter，該工具收錄於 OECD.AI Catalogue of Tools & Metrics。

自 2017 年起，他擔任一家歐洲銀行的監督委員會成員；此外，他曾任 European AI Office 專家小組成員，以及負責起草 EU General-Purpose AI Code of Practice 的四個工作小組成員。他也是 StandICT.eu Standards Maker，以及 IEEE P7007.1「用於處理 AI 系統風險的本體論標準」工作小組成員。

他在資本市場、銀行業、結構化金融與 FinTech 領域擁有超過三十年的經驗，並在風險與治理領域撰寫或編輯超過二十五部出版品。詳情請見 www.ewairm.com。

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