Vol. 2 No. 8 (2026), Articles
Vol. 2 No. 8 (2026)

PSYCHOLOGICAL TRUST IN ARTIFICIAL INTELLIGENCE TRANSLATIONS: A THEORETICAL APPROACH ABSTRACT

Articles
Published 2026-02-21
Izzatilloyeva Saida
Student of Navoi State University
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Keywords

Artificial Intelligence (AI) Translation, Psychological Trust, Algorithm Aversion, Neural Machine Translation (NMT), Cognitive Trust, Interpretability, Explainable AI, Human-Computer Interaction (HCI), Technology Acceptance Model (TAM), Uncertainty Signaling.

Abstract

This study investigates the determinants of human trust in Artificial Intelligence (AI) and Machine Translation (MT). While AI translation quality has improved significantly, the psychological acceptance of these outputs remains a complex challenge. This paper analyzes the mechanisms of "Algorithm Aversion" and the role of cognitive and affective trust in user interaction with translation technologies.

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References

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Dietvorst, B. J., et al. (2015). Algorithm Aversion: People Erroneously Avoid Algorithms After Seeing Them Err.

Venkatesh, V. (2003). User Acceptance of Information Technology: Toward a Unified View.

Schmidt, P., & Biessmann, F. (2019). Quantifying Interpretability and Trust in Machine Learning.

Kizilcec, R. F. (2016). Effects of Transparency on Trust in an Algorithmic Interface. CHI Conference on Human Factors in Computing Systems.