With computational methods spanning NLP, network analysis, simulation modelling, and behavioral experiments, the project examines AI’s influence on, and constraints on, creative decision-making (for example, in newsrooms), AI-driven imitation processes in the broader information ecosystem, and informal/unintended organizational adaptations in political parties. The focus is on linking individual behavior to organizational and societal outcomes to render typically invisible patterns measurable, so we can better understand the democratic consequences of AI in organizations and society.
Contact: emilbj@sam.sdu.dk