Trust, transparency, encouragement: Starting points for the design of operational AI innovation processes

Abstract

This ai:conomics Policy Brief complements the economic research on the consequences of AI introductions conducted by ai:conomics with companies. It thus will invite companies to take a targeted approach to the conscious design of corporate innovation processes in the technology field of AI, taking uncertainty into account as a key contextual factor for AI innovation. Current practice-oriented process models for the operational introduction of AI innovations serve as the basis for interviews with people with experience in the introduction of AI in large German companies. Scientific findings and models from organizational psychology research enrich the practical reflection with starting points for the targeted design of sustainable operational innovation processes.

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Silbernagl, C., Fregin, M.-C., Erbacher, K., Pahl, B., & Tegtmeyer, L. (2024). Trust, transparency, encouragement: Starting points for the design of operational AI innovation processes. (pp. 1-10). ROA. ROA External Reports Vol. 005.