Trust & Self-Organising Socio-technical Systems

Abstract

We present our theory on trust and its components and dimensions, and apply it to trust in complex dynamic socio-technical systems and to their self-organising emergent results. Specifically, we apply our theory to ICT-based systems, where a “Social Order” is no longer fully “spontaneous” due to the invisible hand impinging on individual and selfish-decisions. In such contexts, a social order is rather based on programmed interactions, algorithmic procedures and big data. Since trust cannot be fully programmable and predictable, how can we build it in this complex and dynamic system? Some of our research questions sound: is it necessary that folks “understand” the underlying mechanisms they are relying on? What kind of information about forecasts or future projections should be provided and adjusted? What kind of role do simulation, serious games play on learning to understand and expect? Will there be algorithms working on the micro-processes and producing the emergent organisation, and if yes, how effective and reliable will they be? There are at least two different levels of trust in complex systems and in their functioning processes: trust in the emergent order and trust in the micro-layer rules. Are the systems rules and resulting equilibriums fair, equity inspired, in relation to the interests of the involved groups/subjects? A complex and cognitive model of trust is needed for this analysis.