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Journal article Open Access Scopus Source The journal / series is indexed in Scopus (SCImago list). The article itself has not been verified. 17 Citations Quartil Q1

Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal

Célia Tavares , Luciana Oliveira , Pedro Duarte , Manuel Moreira Da Silva
ISLA — Instituto Politécnico de Gestão e Tecnologia
10 2023

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Abstract
According to a recent study by OpenAI, Open Research, and the University of Pennsylvania, large language models (LLMs) based on artificial intelligence (AI), such as generative pretrained transformers (GPTs), may have potential implications for the job market, specifically regarding occupations that demand writing or programming skills. This research points out that interpreters and translators are one of the main occupations with greater exposure to AI in the US job market (76.5%), in a trend that is expected to affect other regions of the globe. This article, following a mixed-methods survey-based research approach, provides insights into the awareness and knowledge about AI among Portuguese language service providers (LSPs), specifically regarding neural machine translation (NMT) and large language models (LLM), their actual use and usefulness, as well as their potential influence on work performance and the labour market. The results show that most professionals are unable to identify whether AI and/or automation technologies support the tools that are most used in the profession. The usefulness of AI is essentially low to moderate and the professionals who are less familiar with it and less knowledgeable also demonstrate a lack of trust in it. Two thirds of the sample estimate negative or very negative effects of AI in their profession, expressing the devaluation and replacement of experts, the reduction of income, and the reconfiguration of the career of translator to mere post-editors as major concerns.

Keywords

#Artificial Intelligence #Large Language Models #neural machine translation #translators and interpreters #language service providers #AI awareness #trust in AI #post-editing #portugal #Interpreter #Portuguese #Service provider

Bibliographic Details

Publication Type Journal article
Publication Year 2023
Quartile (SCImago) Q1
Scopus Indexing Indexed source (via SCImago)

ISLA Authors & Affiliations

A
Ana Maria Moreira Rodrigues
anamaria@iscap.ipp.pt ID: 9318-3841-0F19
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C
Célia Verónica Martins Tavares
celiat@iscap.ipp.pt ID: 0F1C-3C75-1366
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L
Luciana Gomes de Oliveira
lgo@iscap.ipp.pt ID: AE1B-5FBF-2341
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M
Manuel Fernando Moreira da Silva
mdasilva@iscap.ipp.pt ID: 7619-C207-CDB4
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P
Pedro Luís Queirós Duarte
pduarte@iscap.ipp.pt ID: F212-8545-5A0A
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