A Leader's Guide to Ethical AI and Governance
Packt Publishing Limited (Verlag)
978-1-80610-455-0 (ISBN)
- Titel nicht im Sortiment
- Artikel merken
Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader
Key Features
Learn exactly how to position an ethics-based approach to obtain executive buy-in
Discover how to launch an AI governance program at scale with measured impact
Train with real-world use cases that enable you to action swiftly
Find out how to obtain support for AI governance-led digital transformation
Book DescriptionThis is one of the first books to speak directly to executive leaders across industries about AI ethics and data governance as a strategic imperative and not just a compliance necessity. This boardroom-ready playbook 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 healthcare, finance, retail, and tech sectors
Integrated governance—connects ethics, operations, and innovation
Visually supported—includes maturity models, frameworks, and executive tools
You’ll find out how to design a trust-first approach to implementation in AI and how to ensure appropriate governance is built into AI solutions. You’ll 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’ll have learned 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 and governance framework for your organization
Who this book is forThis 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 remains valuable for practitioners. It bridges ethical theory with practical application; so if you’re curious, accountable, and responsible for innovation at scale, you’ll find it highly relevant and actionable.
Wendy S. Batchelder is a three-time chief data officer with a wide understanding of how to take highly technical aspects of data and analytics and translate them into simple, concise business-valued solutions that are practical and easy to understand. Her background has led her to lead global data and analytics organizations at four Fortune 500 companies, including Wells Fargo, VMware, Salesforce, and now, Centene. She approaches situations with curiosity and humility, which has led to applying innovative data solutions to challenges with increased complexity to deliver value that companies can measure. A lifelong learner, Wendy graduated from Miami University with a BS in accounting with a minor in information systems, from Drake University with a master's in accountancy, and from the University of Iowa with an executive MBA, and she has completed ongoing professional education at Harvard Business School. Wendy resides in West Des Moines, Iowa, with her husband and six children.
Table of Contents
The Intelligent Shift: Why AI and Data Ethics Matter Now
The Executive Imperative: Ethics as a Strategic Advantage
The Data Dilemma: Truth, Bias, and the Illusion of Neutrality
Governing the Invisible: What AI Ethics Actually Is
Bias and Harm: Seeing What Machines Can't
Transparency and Trust: Building Systems that Deserve Confidence
The Architecture of Accountability: Modern Data Governance
Policies with Purpose: Balancing Innovation and Control
The People Side: Culture, Talent, and Ethical Leadership
Responsible Innovation: Scaling AI Without Losing Your Soul
Metrics that Matter: Measuring Impact and Ethical Performance
Leading the Way: Building Your Ethics and Governance Playbook
Appendix: Leadership Reference Guide
| Erscheinungsdatum | 09.07.2025 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| ISBN-10 | 1-80610-455-5 / 1806104555 |
| ISBN-13 | 978-1-80610-455-0 / 9781806104550 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich