With the rapid development of digital technology and artificial intelligence, various kinds of artificial intelligence tools have brought more vitality and innovation into translation with their powerful ability of natural language understanding and multi-modal information processing.Future advancement will undoubtedly follow the thorough integration of the theoretical research and applied practice of translation with artificial intelligence.As a hot topic in translation studies, translator studies are also undergoing unprecedented changes in the era of artificial intelligence.This paper reviews the opportunities that artificial intelligence has for the field of translator studies, points out the possible challenges, and concentrates on the development path of translator studies in the AI era.As for translator studies, we think that while artificial intelligence has enriched research materials, improved research efficiency and broadened research perspectives, it has also triggered challenges, such as inconsistent data and quality, a lack of standardized research methodologies, unclear translator identity, and significant translation ethics.Therefore, in order to improve the integration mechanism of artificial intelligence and translator studies, and provide new perspectives and directions for expanding translator studies, the scientific research of translator studies should not only make full use of the positive role of artificial intelligence, but also attach importance to the domains of translators' translations, behaviors, groups, and translation teaching studies.
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Ren Qingliang (2024) studied this question.