Lead the Machine (Paperback)

Idioma: inglés

Editorial: Independently Published, 2026

9798251865196

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Paperback. Artificial intelligence is now embedded in consequential decisions across every major industry: credit underwriting, employment screening, healthcare triage, fraud detection, and customer service. Yet in most organisations, the governance infrastructure needed to manage AI responsibly lags significantly behind the pace of deployment. Governing the Machine addresses this gap directly. It is structured around the ALICE-AI Framework - five interdependent dimensions of AI governance: Auditability, Liability, Integrity, Confidence, and Explainability - developed independently by the author as a unifying, jurisdiction-neutral operating system for enterprise AI governance. The book provides a crosswalk between ALICE-AI and the three most significant global governance standards currently in force: the NIST AI Risk Management Framework, ISO/IEC 42001:2023, and the EU Artificial Intelligence Act. It is designed to be immediately actionable: every chapter includes practitioner tools, real-world case studies drawn from publicly documented AI failures, and control frameworks that organisations can adapt to their own risk profiles. This book and the ALICE-AI Framework represent the author's own original work, developed and authored in a personal capacity. The framework draws exclusively on: Publicly available regulatory frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act, GDPR, and sectoral guidance documents cited in full throughout the text);Peer-reviewed academic research and published industry studies, cited with full attribution;Publicly documented AI incident cases, drawn from published legal judgments, regulatory filings, and journalistic sources cited by reference; andThe author's own original analytical synthesis, framework design, and practitioner guidance.No proprietary methodologies, confidential data, trade secrets, or unpublished intellectual property of any third party or employer have been incorporated into this work. All case studies are drawn from publicly available sources. All regulatory references are to published public documents. The ALICE-AI acronym, framework structure, and associated tools are the author's original creations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

N° de ref. del artículo 9798251865196

Título
Lead the Machine (Paperback)
Autor
Arvind Mehta
Editorial
Independently Published
Año de publicación
2026
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798251865196

CitiRetail

Stevenage, Reino Unido

Vendedor de 5 estrellas

Vendedor de IberLibro desde 29 de junio de 2022

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Primer artículoEUR 44,33EUR 44,33
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