Authors: Andrea Geissinger; Christina Öberg; Rasmus Nykvist
Artificial intelligence (AI) expects to increasingly transform ways in which business is conducted. With change follows a need to question current ways of acting and interacting, yet the past becomes the frame through which the future is understood. By drawing on predictive brain theory, which shares the same fundamental underpinnings as the Bayesian brain hypothesis, but uses insights from machine learning and neuroscience, the paper conceptualizes that prospective sense making as a skill to update in-flux network pictures are increasingly required for business managers. The paper provides a novel approach to business managers’ mental capacity in understanding change and in their ability to adapt to structural shifts that require an update on gone-solid assumptions about the business environment, while linking this to AI both as a motor of change, and in challenging human thought with machine learning.
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