Efficiency Without Cognitive Change: Evidence from Human Interaction with Narrow AI Systems
This addresses the problem of understanding AI's impact on human cognition for researchers and educators, showing incremental evidence that current narrow AI systems act as cognitive scaffolds without transforming underlying mental capacities.
The study tested whether short-term exposure to narrow AI tools like ChatGPT enhances core cognitive abilities or just improves task efficiency, finding that AI-assisted participants completed tasks faster and more accurately but showed no significant changes in standardized measures of problem solving or verbal comprehension.
The growing integration of artificial intelligence (AI) into human cognition raises a fundamental question: does AI merely improve efficiency, or does it alter how we think? This study experimentally tested whether short-term exposure to narrow AI tools enhances core cognitive abilities or simply optimizes task performance. Thirty young adults completed standardized neuropsychological assessments embedded in a seven-week protocol with a four-week online intervention involving problem-solving and verbal comprehension tasks, either with or without AI support (ChatGPT). While AI-assisted participants completed several tasks faster and more accurately, no significant pre-post differences emerged in standardized measures of problem solving or verbal comprehension. These results demonstrate efficiency gains without cognitive change, suggesting that current narrow AI systems serve as cognitive scaffolds extending performance without transforming underlying mental capacities. The findings highlight the need for ethical and educational frameworks that promote critical and autonomous thinking in an increasingly AI-augmented cognitive ecology.