Célia Tavares, Luciana Oliveira, Pedro Duarte, Manuel Moreira da Silva
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引用次数: 0
摘要
根据OpenAI、Open Research和宾夕法尼亚大学(University of Pennsylvania)最近的一项研究,基于人工智能(AI)的大型语言模型(llm),如生成预训练变形器(gpt),可能会对就业市场产生潜在影响,特别是在需要写作或编程技能的职业方面。该研究指出,在美国就业市场上,口译员和笔译员是人工智能接触最多的主要职业之一(76.5%),这一趋势预计将影响全球其他地区。本文采用基于调查的混合方法研究方法,提供了葡萄牙语服务提供商(lsp)对人工智能的认识和知识的见解,特别是关于神经机器翻译(NMT)和大型语言模型(LLM),它们的实际使用和有用性,以及它们对工作表现和劳动力市场的潜在影响。结果显示,大多数专业人士无法识别人工智能和/或自动化技术是否支持专业中最常用的工具。人工智能的有用性基本上是低到中等的,不太熟悉它的专业人士也表现出对它缺乏信任。三分之二的样本估计人工智能对其职业的负面或非常负面的影响,表达了专家的贬值和替代,收入的减少,以及翻译职业重新配置为纯粹的后期编辑是主要的担忧。
Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal
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.