Buch, Englisch, 328 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 611 g
An Ethical Approach to Improve Workforce and Business Performance
Buch, Englisch, 328 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 611 g
ISBN: 978-1-3986-2973-8
Verlag: Kogan Page
Embed AI at the heart of HR to drive workforce performance, commercial impact and long-term relevance. The AI-Centric HR Operating Model is a strategic guide for senior HR leaders and people executives who must integrate artificial intelligence into their operating models to remain integral to business performance. Written by Tess Hilson-Greener, this book explains how HR can move beyond legacy structures and process-heavy activity to design an AI-centric model aligned to how value is now created across the organization. Grounded in ethics and human value, the book shows how AI should be embedded across HR as a core operating capability not as a technology add-on. It demonstrates how AI can amplify human judgement, creativity and insight while improving productivity, decision-making speed and organizational resilience, ensuring HR drives both people outcomes and commercial results. You'll learn how to: - Design an AI-centric HR operating model aligned to business strategy - Embed AI across HR to improve productivity, capability and decision-making - Align human judgement and creativity with AI-enabled performance insights - Ensure ethical, human-centered AI adoption that builds trust and engagement With research-led insight, senior leader perspectives and real-world organizational evidence, The AI-Centric HR Operating Model helps HR leaders strengthen relevance, accelerate impact and position the people function as a central driver of performance in the AI era. Themes include: AI in HR, HR operating models, workforce performance, ethical AI, people strategy, organizational resilience, human-centered AI, business alignment
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Chapter - 00: Introduction;
- Chapter - 01: The illusion of progress;
- Chapter - 02: Human–AI teaming – where organizational judgement now lives;
- Chapter - 03: Ethics without judgement – when systems prevent decisions;
- Chapter - 04: Role compression – reconfiguring HR in an AI-mediated organization;
- Chapter - 05: Capability under pressure – reconfiguring HR in an AI-mediated organization;
- Chapter - 06: Rethinking productivity in an AI-mediated organization;
- Chapter - 07: Leadership in the AI supercycle – redefining decision-making and accountability;
- Chapter - 08: The PXB ecosystem – an operating architecture for AI-mediated organizations;
- Chapter - 09: The architecture of AI governance – monitoring, ethics and the judgement spine;
- Chapter - 10: From AI tools to operating systems – implementing the AI-centric operating model;




