The Responsible AI Strategic Advantage

A Leadership Guide to Decision-Making, Culture, and Governance in the AI Era
1. Auflage 2027
ISBN: 978-1-041-11509-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 360 Seiten, Format (B × H): 156 mm x 234 mm

As AI increasingly influences every aspect of organizational life, this book provides leaders with the guidance they need to navigate the complexities of technological advancement while ensuring ethical and sustainable outcomes for their organizations and society.

By combining forward-looking insights with practical tools, The Responsible AI Strategic Advantage offers a roadmap for boards of directors, CEOs, executives, senior leaders and HR professionals to embrace AI responsibly and create long-lasting impact. It provides a framework to implement across the organization, with supporting tools for decision-making, culture, leadership and governance and equips readers with the resources needed to build resilient organizations that thrive in the age of AI.

Specifically, the book:

- Empowers leaders to harness the power of AI ethically by providing practical frameworks for making better, more efficient, and ethical decisions using AI;

- Guides the development of ethical innovation cultures that balance technological advancement with human values and societal impact;

- Redefines HR’s role in an AI-powered workplace, advancing the profession beyond traditional, subjective frameworks;

- Equips boards to govern effectively in the AI era; and

- Shapes the future of leadership by exploring the new skills and competencies required for leaders to successfully navigate the AI-powered world.

The book is for C-suite executives and board members, HR professionals and new leaders seeking frameworks for responsible AI adoption and governance to understand and leverage AI for strategic decision-making, navigate ethical considerations, and ensure organizational success in the AI era.

Zielgruppe

Postgraduate and Professional Practice & Development

Autoren/Hrsg.

Inbar, Zivit

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
• Geowissenschaften Umweltwissenschaften Nachhaltigkeit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft Entwicklungsökonomie & Emerging Markets
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Introduction  Part One. Responsible Decision-Making in the AI Era  1. The Foundations of Decision-Making in Organizations 2. The Case for Leveraging AI for Better, More Efficient, and Ethical Decisions 3. The Ethical Edge: The Inside-Out Framework for Implementing Responsible AI  Part Two. The Culture of Responsible AI: Leading Ethical Innovation in Organizations  4. The Changing Face of Organizational Culture in the AI Age 5. What Responsible AI Culture Looks Like in Practice 6. From Intention to Practice: Developing Sustainable, Responsible AI Culture  Part Three. Leadership, Governance, and the Capabilities for Responsible AI  7. When Responsibility Slips: Leadership, Delegation, and Accountability 8. Governing AI: Driving Innovation Without Compromising Responsibility 9. Leading Into the Future: The Leadership Capabilities Required in the AI Era  Part Four. Designing the Human Architecture for Responsible AI  10. HR in the Age of AI: Position, Paradox, and Strategic Opportunity 11. HR’s Moment: Five Domains for Building the Human Architecture for Responsible AI 12. Aligning Governance: Boards, Leadership, and HR as Partners

Über Autor(innen)

Dr Zivit Inbar has over 20 years of experience at the board and HR executive levels in private and listed organizations across APAC, Europe, Asia and the US. She is a Standards Australia member of ISO/IEC JTC 1 subcommittees SC 42 (Artificial Intelligence) and SC 40 (IT Governance), and contributes to working groups on AI governance, risk management, ethics and bias.