Serious Managers Guide to AI Governance Navigating the Future of AI-based Intelligent Oversight
-
- Einzelkauf Download ausgewählt
-
Sprache:Englisch
8,89 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
01.04.2026
Verlag
PublishdriveSeitenzahl
175 (Printausgabe)
Sprache
Englisch
EAN
9781972752197
AI didn't arrive in your organization with a strategy. It slipped in-as a chatbot pilot, a vendor feature, a "smart" module no one formally approved. Now it's embedded in the systems you procure, the platforms you manage, and the decisions your teams make every day.
The question is no longer whether AI will reshape your operations. It already has. The real question is: Who is governing it?
Serious Managers Guide to AI Governance gives IT managers, senior leaders, and technology executives the frameworks, language, and practical tools to lead AI with confidence-without needing a data science degree. This is not a book about building models. It is a book about making the decisions that determine whether AI strengthens your organization or quietly becomes its biggest liability.
You will learn how to:
. Extend your existing IT governance into a modern AI governance framework-without starting from scratch
. Build an AI operating model that makes roles, decision rights, and accountability explicit across the organization
. Apply a four-dimension lens-Value, Risk, Control, and Trust-to evaluate every AI initiative
. Govern data as the foundation of responsible AI, with practical controls for quality, lineage, and accountability
. Integrate AI risk into enterprise risk management, including bias, model drift, opacity, and regulatory exposure
. Operationalize ethics and transparency so they become workflows, not wall posters
. Navigate cloud and hybrid AI environments where shared responsibility demands clear governance boundaries
. Manage generative AI and autonomous systems with governance structures designed for speed and uncertainty
. Build the people, skills, and culture that sustain AI governance beyond any single initiative
. Lead crisis response when AI systems fail-because eventually, one will
Each chapter opens with a real-world scenario that brings governance challenges to life. Each closes with a manager's checklist and playbook-questions you can use on Monday morning to start leading differently.
Across 16 chapters, this book covers the full landscape: from AI risk tiering and compliance to vendor governance, AI portfolio management, change management, and maturity measurement. It connects every concept back to what a manager actually controls: budgets, teams, vendors, timelines, and stakeholder trust.
Most importantly, this book reframes governance not as a brake on innovation but as the infrastructure that makes innovation sustainable. Ungoverned AI slows organizations down through rework, crisis management, and lost credibility. Governed AI accelerates progress by creating predictable pathways from idea to responsible deployment.
AI is no longer someone else's problem. It is part of your operating environment, your risk portfolio, and your leadership responsibility.
This book is your guide to owning that responsibility-and turning it into your competitive advantage.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice