Unlocking the Future of Localisation: A Fusion of Human Expertise and Artificial Intelligence in a Cutting-Edge Syllabus

Abstract

Towards the end of the first quarter of the 21st century, the impact of information and communication technologies continues to grow, shaping a once-unimaginable future. New jobs and opportunities have emerged, driven by advancements associ- ated with science fiction in the past. Artificial intelligence, once a concept portrayed in futuristic films, has now become central to various fields such as medicine, mili- tary, engineering, genetics, molecular biology, and even social sciences. Evaluated under the social sciences, Translation Studies has also had its share of these develop- ments. Integrating state-of-the-art technologies and artificial intelligence within TS has generated innovative areas in translation. Many translation and interpreting pro- grammes at universities now offer courses targeted at new technologies. Localisation is one of them. This research explores the syllabus proposals for localisation courses generated by ChatGPT and PopAI. The starting point is a fascinating question: If artificial intelligence were a translation scholar, how would it create a localisation course syllabus? Therefore, in response to this inquiry, the applications in question were used to design localisation syllabus without human intervention. The proposed syllabi by these applications were assessed based on a deductive and descriptive methodology and subsequently refined through a fusion of artificial intelligence insights and human input. The final proposal as the integration of AI and humans, intended for teaching in translation and interpreting programmes, is considered a useful resource for educators in this field as it mixes both AI and human touch.