Jakarta, INTI - Language practitioner Ni Ketut Ayu Puspita Dewi emphasized that the use of artificial intelligence (AI) should be further integrated into interpreter training programs to enhance both the quality and efficiency of learning.
Ni Ketut Ayu Puspita Dewi, who serves as Head of the Internal Division at the Himpunan Penerjemah Indonesia and is also the founder of Bali Interpreting Academy, shared her views during the China-ASEAN Conference on Translation, Interpreting, and Communication.
The event was held from April 18 to 19, 2026, at Xiamen University Malaysia.
“In my view, from the perspective of the interpreting industry, AI should be more strongly emphasized in training. Academies and interpreter training programs in Indonesia should begin to embrace AI more actively,” she said.
She explained that AI can function as a supporting tool in practice sessions and simulation exercises, as well as in evaluating the quality of translation outputs. Additionally, AI-based feedback systems can provide more measurable improvements in interpreters’ performance.
“This is one of my key takeaways, to bring back and implement AI within interpreting education systems,” she added.
She also encouraged universities in Indonesia to adopt AI technologies in their training programs to better prepare future interpreters.
Strengthening Regional Collaboration and Certification
Furthermore, she proposed the establishment of a China-ASEAN Certification of Competence and a China-ASEAN Learning Community to foster capacity building and collaboration across the region.
According to her, linguistic research within ASEAN remains limited, highlighting the need for more dedicated studies, particularly in interpreting.
She also welcomed the formation of the China ASEAN Interpreters and Translators Association, describing it as a strategic step toward strengthening cross-border cooperation.
The association involves more than ten institutions from countries including China, Indonesia, Malaysia, Singapore, Thailand, and Vietnam, with its secretariat based in Xiamen University.
Its establishment is expected to help address shortages of professional interpreters in certain countries while also enhancing cross-cultural understanding.
Such international collaboration is seen as a way to support more effective global communication and contribute positively to economic and diplomatic relations.
The launch of this association marks a new chapter in translation and interpreting collaboration in the era of AI.
Conclusion
The growing integration of AI into interpreter training highlights a broader transformation in the language services industry. By combining technological innovation with regional collaboration, ASEAN countries have the opportunity to enhance interpreter quality, address talent gaps, and strengthen cross-cultural communication. Moving forward, sustained investment in AI-driven education and research will be key to ensuring the industry remains adaptive, competitive, and globally relevant.
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