{"title":"Markus Krebsz","description":"\u003cp\u003eMarkus Krebsz offers insightful explorations into the evolving landscape of business, with a particular focus on integrating advanced technologies into enterprise strategies. His works provide a clear-eyed analysis of how artificial intelligence can be managed responsibly across organisations, blending practical guidance with forward-thinking concepts.\u003c\/p\u003e\n\n\u003cp\u003eReaders can expect a thoughtful examination of risk management in the context of AI, tailored for professionals aiming to navigate the challenges and opportunities of digital transformation. Krebsz’s books serve as valuable resources for those seeking to understand the intersection of technology and business leadership.\u003c\/p\u003e","products":[{"product_id":"enterprise-wide-ai-risk-management-ew-airm-by-markus-krebsz-9781394446476","title":"Enterprise-wide AI Risk Management (EW-AiRM)","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003eA structured governance framework for managing AI risk across your entire organisation\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eEnterprise-wide AI Risk Management (EW-AiRM)\u003c\/em\u003e\u003cem\u003eTM\u003c\/em\u003e: 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. \u003cem\u003eEW-AiRMTM\u003c\/em\u003e augments existing ERM frameworks like ISO 31000, COSO, and the UK Orange Book with AI-specific governance capabilities.\u003c\/p\u003e\n\n\u003cp\u003eThe 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.\u003c\/p\u003e\n\n\u003cp\u003eReaders will also find:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eA resilience framework designed to prepare organisations for AI Black Swan events that cannot be fully anticipated in advance\u003c\/li\u003e\n    \u003cli\u003ePractical guidance on extending existing enterprise risk management structures rather than replacing them with entirely new governance architectures\u003c\/li\u003e\n    \u003cli\u003eA risk taxonomy spanning seven domains and 24 sub-domains built from over 1,700 categorised AI risk scenarios\u003c\/li\u003e\n    \u003cli\u003eThe HAiPECR ethical framework, hosted on the OECD.AI tool website, embedding human accountability into every governance decision\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten 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.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":67808241254636,"sku":"9781394446476","price":131.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781394446476-enterprise-wide-ai-risk-management-ew-airm-1.jpg?v=1792530181"}],"url":"https:\/\/bookhero.pro\/collections\/markus-krebsz.oembed","provider":"Book Hero","version":"1.0","type":"link"}