Publisher's Synopsis
Learn how to design a company-specific, ethically grounded approach to govern AI solutions. Starting from a business-led approach to building a business case, how to gain enterprise support, and a step-by-step guide to deployment
Key Features
- Learn exactly how to position an ethics-based approach to obtain executive buy-in
- How to launch a AI governance program at scale with measured impact
- Real-world use cases that enable the reader action fast
- How to obtain support for an AI governance-led digital transformation
Book Description
This is the first book that speaks directly to executive leaders across industries about AI ethics and data governance as a strategic imperative-not just a compliance necessity. This boardroom-ready playbook that empowers leaders to scale AI responsibly, govern data with integrity, and build organizations that are both innovative and ethical. Why it stands out: Leadership-first language-no jargon or code required Clear outcomes-each section builds real capability Broadly applicable-relevant across sectors: healthcare, finance, retail, tech Integrated governance-connects ethics, operations, and innovation Visually supported-includes maturity models, frameworks, and executive tools You will learn how to design a trust-first approach to implementation in AI and how to ensure appropriate governance is built into AI solutions. Individuals will start with a fundamental understanding of what AI governance is and the path to align an organization around the need for an ethics-based approach to AI governance. By the end of this book, you will learn about the subcomponents of AI governance, how to implement them, and to drive adoption within the organization which creates value and ease of use for the business.What you will learn
- Understand why AI ethics and data governance are urgent business imperatives
- Demystify the principles of AI ethics and translate them into leadership language
- Recognize the ethical risks embedded in data-from sourcing to model deployment
- Build organizational capacity for responsible AI and data leadership
- Measure and monitor ethical performance using practical metrics
- Create a roadmap and operating model for responsible AI at scale
- Build an appropriate fit-for-use AI Ethics & Governance Framework for your organization
Who this book is for
This book is designed for executive leaders, board members, and decision-makers across industries. While it dives deep into topics like AI governance, data ethics, and responsible innovation, it does not require technical expertise in data science or programming. This book is accessible to non-technical leaders but still valuable for practitioners. It bridges ethical theory with practical application-so readers who are curious, accountable, and responsible for innovation at scale will find it highly relevant and actionable.
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