Year: 2025
Type: article
Study design: Clinical Trial
Abstract: This study evaluates the impact of Generative AI (Artificial Intelligence) algorithms on human decision making in complex problem-solving tasks. Rather than assessing the algorithms in isolation, we focus on how their use shapes three critical cognitive components of decision making: analytical thinking, creative thinking, and systems thinking. In an experimental setting, student participants were randomly assigned to solve management consulting cases either with or without access to an AI algorithm. Their solutions were evaluated using a structured rubric that captures sub-skills across the three cognitive dimensions. The results of this exploratory study reveal that AI-supported participants achieved stronger outcomes in logical reasoning, structuring, and problem definition, but showed weaknesses in novel idea generation, multidisciplinary integration, and critical rejection of unsupported conclusions. These findings highlight how algorithmic support influences the configuration of human cognitive processes in decision making.
Source: Algorithms
DOI: 10.3390/a18100631
Authors: Nurlan Musazade, József Mezei, Xiaolu Wang
Institution: Åbo Akademi University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,930
OpenAlex ID: W4414917618