Rethinking Trust: A Radical New Vision - From Molecular Origins to Global Systems

In the interview, Erik Schoppen discusses his forthcoming book "Trust Reset: A Radical New Vision on Trust" and the need for a new perspective on trust theories. He believes that traditional theories are insufficient in the face of rapid technological advancements and global changes. Erik emphasizes that his upcoming book integrates new insights from biological and artificial research, offering a comprehensive view on trust that spans from its molecular origins to complex social and digital systems. He explains that trust has evolved as a survival mechanism, starting from early neural networks in ancient organisms. This evolution has led to the development of three biological forms of trust: cognitive, affective, and behavioral attitudes, known as the CAB model. He elaborates that these attitudes play a role at various levels, from self-trust to interactions in social networks, and larger organizational structures, to system and societal trust.

He highlights the need to understand trust as expanding networks that increase in complexity., describing trust as information that flows through these networks and levels, allowing for the measurement of trust attitudes in various contexts.

He also introduces the concept of the circular trust loop, consisting of three transformational processes: regaining, rebuilding, and renewing trust. These processes help restore trust in individuals and societies, especially in the face of current global conflicts and uncertainties.

Addressing the integration of biological aspects of trust, Schoppen acknowledges Paul Zak's research on the neurochemical oxytocin but emphasizes the need for a broader, multidimensional approach. He introduces his “integrated multilevel trust framework”, which considers trust from a molecular to a global scale, addressing challenges such as the climate crisis. He further breaks down the cognitive, affective, and behavioral responses that shape trust today. He provides examples, such as hiring decisions, to illustrate how these responses influence our interactions and decisions based on trust.

Discussing the future of trust and AI, Erik raises concerns about whether AI will trust humans rather than the other way around. He explains that AI processes information much faster and more logically than humans, potentially perceiving us as untrustworthy and irrational. This shift necessitates a new field of research on trust in the context of AI.