AI Compliance and Governance for Technology Leaders : EU AI Act & ISO 42001 Implementation, Risk Frameworks, and Building Auditable AI Systems (2026/2027 Deadline Update)
Language: English
Published by Amazon Digital Services LLC - Kdp Jul 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 38.18
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Add to basketItem description from seller
Neuware - Stop Treating AI Governance as a Legal Problem. It's an Engineering Problem.For technology leaders, the era of voluntary 'Responsible AI' is over. With the EU AI Act now in force and ISO/IEC 42001 becoming a strict procurement baseline, organizations face fines of up to 35 million for non-compliance. If your AI system's output affects users in the EU, you are in scope, regardless of where your headquarters is located.AI Compliance and Governance for Technology is the definitive, premium desk reference for CTOs, VPs of Engineering, and AI/ML leads. This isn't a dense legal theory book; it is a highly actionable engineering manual designed to turn regulatory text into auditable, production-ready systems. Keep this comprehensive paperback on your desk to bridge the gap between compliance mandates and technical execution.What You Will Master - The Global Patchwork: Navigate the exact enforcement timelines for the EU AI Act, ISO/IEC 42001, and emerging US state laws through 2027.- Auditable Architecture: Build continuous risk management, data governance, and technical traceability directly into your deployment pipelines.- Documentation by Design: Generate compliant Model Cards, System Cards, and Datasheets as automated byproducts of your ML workflow.- Human Oversight Engineering: Implement risk-calibrated Human-in-the-Loop (HITL) and Human-on-the-Loop systems that avoid operational rubber-stamping.- Vendor Risk Management: Master the specific contractual and technical controls required when utilizing third-party foundation models and LLM APIs- Secure Your Enterprise's Future: A startup with a brilliant model but no documented risk assessment will lose enterprise deals to a competitor with a clean ISO 42001 certificate. Retrofitting governance onto an already-deployed system takes months; building it into your architecture from day one takes weeks.Don't leave your product launches or compliance audits to chance. Add this essential technical manual to your professional library today and build AI systems that actually deserve the trust placed in them. …
Seller Inventory # 9798189388422
- Title
- AI Compliance and Governance for Technology Leaders : EU AI Act & ISO 42001 Implementation, Risk Frameworks, and Building Auditable AI Systems (2026/2027 Deadline Update)
- Author
- Erik Volkmann
- Publisher
- Amazon Digital Services LLC - Kdp Jul 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798189388422
- Item weight
- 531 grams
- Dimensions
- 279x216x12 mm
For technology leaders, the era of voluntary "Responsible AI" is over. With the EU AI Act now in force and ISO/IEC 42001 becoming a strict procurement baseline, organizations face fines of up to €35 million for non-compliance. If your AI system's output affects users in the EU, you are in scope, regardless of where your headquarters is located.
AI Compliance and Governance for Technology is the definitive, premium desk reference for CTOs, VPs of Engineering, and AI/ML leads. This isn't a dense legal theory book; it is a highly actionable engineering manual designed to turn regulatory text into auditable, production-ready systems. Keep this comprehensive paperback on your desk to bridge the gap between compliance mandates and technical execution.
What You Will Master
- The Global Patchwork: Navigate the exact enforcement timelines for the EU AI Act, ISO/IEC 42001, and emerging US state laws through 2027.
- Auditable Architecture: Build continuous risk management, data governance, and technical traceability directly into your deployment pipelines.
- Documentation by Design: Generate compliant Model Cards, System Cards,and Datasheets as automated byproducts of your ML workflow.
- Human Oversight Engineering: Implement risk-calibrated Human-in-the-Loop (HITL) and Human-on-the-Loop systems that avoid operational rubber-stamping.
- Vendor Risk Management: Master the specific contractual and technical controls required when utilizing third-party foundation models and LLM APIs
- Secure Your Enterprise's Future: A startup with a brilliant model but no documented risk assessment will lose enterprise deals to a competitor with a clean ISO 42001 certificate. Retrofitting governance onto an already-deployed system takes months; building it into your architecture from day one takes weeks.
Don't leave your product launches or compliance audits to chance. Add this essential technical manual to your professional library today and build AI systems that actually deserve the trust placed in them.
"Synopsis" may belong to another edition of this title.
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