AI: Irrevocable Shift from Problem Solving-making to Problem Complexity Analysing

Nikolai Razin

Abstract:

This chapter explores the paradigm shift in applied problem-solving driven
by the democratisation of artificial intelligence (AI). The widespread use
of AI enables a transition from manual task-solving to goal-setting and
managing the complexity of phenomena, thereby reducing uncertainty.
Central to this chapter is evaluating the alignment between the complexity
of a task and the complexity of the AI method used to address it. Realworld
examples, including the 2008 financial crisis, Zillow’s price prediction
model, and digital footprint credit scoring, demonstrate the practical
relevance of the proposed methodology. These cases highlight the risks
and challenges of using AI without systematic evaluation of complexity.
This chapter emphasises the need for a structured approach to managing
complexity, ensuring that AI applications align with societal, ethical, and
legal norms while delivering practical value.