Translation Students’ Reliance on and Trust in Artificial Intelligence for Successful Translation Projects: Opportunities, Challenges, and Implications

Translation plays a key role in successful translation projects, supporting students using artificial intelligence. Trust is a catalyst in building reliance on AI among students doing their translation projects, signifying the importance of AI in translation work. This study attempts to explore the opportunities, challenges, and implications of integrating AI into translation work, focusing on how translation students rely on and trust artificial intelligence (AI) tools. By analyzing data from 150 translation students using SPSS, the study examines their demographic profiles, usage habits, dependency, trust levels, and perceptions of AI tools. The findings reveal that 90% of students utilize AI tools, with 66.7% expressing a reliance on them. While 70% of respondents believe that AI-generated translations are accurate, 33.3% are skeptical about AI’s ability to manage complex tasks. Students acknowledge that AI significantly aids in maintaining consistency and efficiency, yet they emphasize the importance of human oversight, particularly for intricate and culturally nuanced translations. The study highlights the necessity of balancing technological advancements with human expertise, concluding that AI serves as a complement to human translators rather than a replacement.

Authors

Publication Details

Journal
Arab World English Journal For Translation and Literary Studies
Published
2025-05-22
DOI
https://doi.org/10.24093/awejtls/vol9no2.7
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Translation Students’ Reliance on and Trust in Artificial Intelligence for Successful Translation Projects: Opportunities, Challenges, and Implications

Saleh Belhassen, Achwak Hamda
Arab World English Journal For Translation and Literary Studies
Translation Studies and Practices
article

Translation Students’ Reliance on and Trust in Artificial Intelligence for Successful Translation Projects: Opportunities, Challenges, and Implications

Saleh Belhassen, Achwak Hamda
article en

Abstract

Translation plays a key role in successful translation projects, supporting students using artificial intelligence. Trust is a catalyst in building reliance on AI among students doing their translation projects, signifying the importance of AI in translation work. This study attempts to explore the opportunities, challenges, and implications of integrating AI into translation work, focusing on how translation students rely on and trust artificial intelligence (AI) tools. By analyzing data from 150 translation students using SPSS, the study examines their demographic profiles, usage habits, dependency, trust levels, and perceptions of AI tools. The findings reveal that 90% of students utilize AI tools, with 66.7% expressing a reliance on them. While 70% of respondents believe that AI-generated translations are accurate, 33.3% are skeptical about AI’s ability to manage complex tasks. Students acknowledge that AI significantly aids in maintaining consistency and efficiency, yet they emphasize the importance of human oversight, particularly for intricate and culturally nuanced translations. The study highlights the necessity of balancing technological advancements with human expertise, concluding that AI serves as a complement to human translators rather than a replacement.

Arab World English Journal For Translation and Literary StudiesVol. 9(2)
Openalex Percentile: Top 86%
Translation Studies and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.