Abstract
This study analyzes the performance of artificial intelligence in processes known as “cognitive” (according to scientific literature) in comparison with the performance of human cognitive processes, analyzing experimental and/or empirical studies. The PRISMA process and bibliometric analysis were used to identify and analyze relevant research. A total of 291 studies were analyzed, which were grouped into five categories corresponding to the identified cognitive processes. The results show that only 10.3% of the studies report accuracy rates between 90% and 100% in their performance. The evidence suggests that AI can perform comparably to humans, but not with absolute efficiency. The experimental studies focus mainly on the “decision-making” process (56%), followed, in order of importance, by the processes of “analysis and evaluation” (25%), “judgment and reasoning” (8.6%), “comprehension and learning” (5.5%), and other “specific processes” (4.8%). The most significant contribution of this study is the comparative relational structure between human cognitive processes versus AI processes.
| Original language | English |
|---|---|
| Article number | 55 |
| Journal | Technologies |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2026 |
Bibliographical note
Publisher Copyright:© 2026 by the authors.
Keywords
- artificial intelligence
- cognitive processes
- decision-making
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