AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking
Gerlich M (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006
- Overall rating
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(4.0) 1 review
- Authors
- Michael Gerlich
- Journal
- Societies
- First published
- 2025
- Number of citations
- 993
- Type
- Journal Article
Abstract
The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds. Quantitative data were analysed using ANOVA and correlation analysis, while qualitative insights were obtained through thematic analysis of interview transcripts. The findings revealed a significant negative correlation between frequent AI tool usage and critical thinking abilities, mediated by increased cognitive offloading. Younger participants exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants. Furthermore, higher educational attainment was associated with better critical thinking skills, regardless of AI usage. These results highlight the potential cognitive costs of AI tool reliance, emphasising the need for educational strategies that promote critical engagement with AI technologies. This study contributes to the growing discourse on AI’s cognitive implications, offering practical recommendations for mitigating its adverse effects on critical thinking. The findings underscore the importance of fostering critical thinking in an AI-driven world, making this research essential reading for educators, policymakers, and technologists.
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An interesting paper with wide-ranging ramifications. Coherently written, but at times dawdling, this article explores the impact of AI tool usage on Halpern Critical Thinking Assessment (HCTA) scores, exploring the concept of "cognitive offloading" as a potential mediator between these two. The methods seem robust, but the presentation of results for these methods are mixed. Some tables and figures are presented very well and clearly to one who works outside of this field while others have features that are referred to in the text but are not present in the figures themselves (eg. The feature importance for the Random Forest Regression shown in Figure 1 is presented as a standard bar chart but the text at the tail of the final paragraph of page 17 refers to "nodes" and "arrows" which are not present in the figure). The discussion of the results are interesting but are presented in a way that is a tad repetitive.