Cornelia C. Walther: The Path to Hybrid Intelligence, Kartoniert / Broschiert

Klappentext

This book is a blueprint for strategically integrating artificial intelligence (AI) with natural intelligence (NI) to preserve human agency and ethical decision-making in a rapidly evolving technological landscape. It offers practical frameworks that empower individuals and institutions to co-create with AI rather than be controlled by it. It illustrates how the 4A model---Attitude, Approach, Ability, and Ambition---can guide a holistic relationship between humans and machines, anchored in a multidimensional methodology, reflective exercises, pragmatic tools and short essays from researchers and practitioners.

At its core lies the ABCD framework---Agency erosion, Bond decay, Climate impact, and Divided society---four critical challenges shaping our age of smart machines. Three years on since the large scale launch of generative AI these issues have entered the next phase - Agency asymmetry, Bond blurs, Climate costs and Distorted society. From ethical governance in machine learning via the preservation of the subtleties of human connection to the conscious choice of planetary health, the transdisciplinary perspective of this book helps readers navigate the benefits and risks of emerging technologies. This book presents hybrid intelligence (HI) as a responsible and empowering pathway that addresses these silent disruptions head-on. Through insights from cognitive science, behavioral economics, and ethics, readers---business leaders, policymakers, educators, or inquisitive minds---learn how to balance advanced algorithms with the uniquely human capacities of compassion, creativity, and courage. The Path to Hybrid Intelligence is an invitation to move beyond the narrow scope of return on investment, to the holistic perspective of a hybrid return on values.

Cornelia C. Walther is one of the most fascinating commentators on the impact of AI on society. She brings to the topic of AI a unique perspective and rich insights drawn from her decades of experience working across the globe on projects at the boundary between social and economic development. In this new book, Cornelia shows how AI can be used to increase human agency, not decrease it, and ultimately enrich, not impoverish, the human condition.

Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at The Wharton School.

[This book] is a guide to the existential questions emerging as humanity enters a world enmeshed with artificial intelligence. It asks how we can prepare without surrendering the very capacities that make us human: agency, judgment, critical thinking, and moral imagination. AI may expand what we can do, but it also tempts us to offload the slow, difficult thinking through which the mind grows. Like trees strengthened by wind, human intelligence needs resistance, reflection, and struggle. This book argues for double literacy: understanding our neurobiology, emotions, and biases, while also learning how algorithms shape perception and choice. [It] shows how ProSocial Hybrid Intelligence can help safeguard people, planet, and human possibility.

Marielle Sander. UNFPA Representative Morocco

The Drucker Forum 2025 placed Purpose at the center of leadership - rightly so, yet without a systematic framework for how AI mediated environments either amplify or erode that purpose.
[This book] delivers precisely that framework. Its governing principle of complementarity and the Quadruple Bottom Line - Purpose, People, Profit, Planet - transform purpose from an aspirational slogan into a measurable horizon for every AI system.
For leaders navigating the hybrid era, this is not abstract ethics but operational strategy: purpose becomes the anchor that prevents agency decay, aligns human and artificial intelligence, and ensures that efficiency never comes at the cost of discernment.
A vital, timely intervention for anyone who refuses to lead by cognitive surrender.

Tan Sri Rainer Althoff, Strategic Advisor Digitalisation and Digital Transformation Malaysia / Germany