The emergence of Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), does more than just function as an automated text generation tool; it also transforms cognitive activities and the way humans construct meaning. Yusuf Beni Dasman from the Republic of Indonesia Defense University published this study in September 2026 to examine how AI technology alters human linguistic processes. The research highlights that although AI can statistically mimic language structures, conscious human experience remains the primary foundation for communicating meaning.
The development of generative AI technology sparks debate regarding the limits of machine capability and human cognitive involvement in producing written works. On one hand, large language models can quickly assemble grammatically structured and coherent texts. However, on the other hand, this capability is purely based on statistical patterns from training data rather than subjective understanding or real-world experience. This phenomenon drives a shift in human cognitive activities toward cognitive offloading, where a portion of the thinking process is offloaded to external systems.
This study utilizes a Systematic Literature Review method following the PRISMA 2020 framework along with thematic analysis of 38 selected scientific articles published between 2021 and 2026. This interdisciplinary approach combines artificial intelligence, psycholinguistics, cognitive science, neuroscience, and the philosophy of language to comprehensively examine the impact of human-technology interaction.
The literature synthesis results identify five major themes in the transformation of human-AI interaction:
- AI-Mediated Language Production Systems: AI is capable of generating well-structured texts through large-scale pattern learning, despite lacking linguistic consciousness.
- Cognitive Offloading: AI actively participates in idea and argument formulation, which can assist efficiency but risks reducing critical thinking engagement if completely surrendered.
- Transformation of Linguistic Practices: The writing process is now becoming a form of collaboration between users and AI systems, particularly in grammar correction and vocabulary selection.
- Differences in Meaning Construction: AI processes symbols based on data statistics, whereas humans give meaning to language through life experiences, emotions, and environmental contexts.
- Transformation of Linguistic Identity: The presence of AI raises new questions regarding authenticity, authorship, and self-expression within hybrid communication environments.
These findings provide important implications for education, technology development, and public digital literacy. Yusuf Beni Dasman emphasizes the necessity of critical AI literacy so that users can evaluate and contextualize AI outputs rather than accepting them raw. Educational institutions are also encouraged to integrate AI as a collaborative partner that supports creativity and analysis, rather than replacing independent thinking processes. This approach ensures that humans retain full control over the responsibility of interpretation and knowledge building.
Author Profile
- Full Name: Yusuf Beni Dasman
- University Affiliation: Republic of Indonesia Defense University
- Field of Expertise: Interdisciplinary Studies of Artificial Intelligence, Language, and Human Cognition
Research Source
- Journal Article Title: Beyond Text Generation: a Systematic Review of Human Language, Cognition, and Meaning Construction in the Era of Generative Artificial Intelligence
- Journal Name: International Journal of Integrated Science and Technology (IJIST)
- Publication Year: 2026
- DOI / Official URL:
https://doi.org/10.59890/ijist.v4i9.48
.jpg)
0 Komentar