@inproceedings{ki-2026-towards,
    title = "Towards Trustworthy {AI}-Mediated Communication Across Languages and Cultures",
    author = "Ki, Dayeon",
    editor = "Elazar, Yanai  and
      Ettinger, Allyson  and
      Kassner, Nora  and
      Ruder, Sebastian",
    booktitle = "Proceedings of The Big Picture v2: Crafting a Research Narrative",
    month = jul,
    year = "2026",
    address = "San Diego, CA, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.bigpicture-main.5/",
    pages = "45--59",
    ISBN = "979-8-89176-416-3",
    abstract = "A socio-technical gap exists between how NLP systems are developed and evaluated and how people use them in practice. To help close this gap, I propose a direction for scientific progress in NLP centered on advancing trustworthy AI-mediated communication between humans, using cross-lingual and cross-cultural interaction as a stress test for this goal {--} settings where common ground is hard-won, miscommunication can go unnoticed, and human users often lack the means to independently evaluate AI outputs. I outline a research agenda emphasizing two complementary requirements spanning both sides of the interaction. On the model side, I study how multilingual systems access and use knowledge across languages, and when they systematically privilege sources in certain languages. On the user side, I design decision-support mechanisms and evaluate how they shape user{'}s reliance on imperfect outputs. Taken together, these results motivate future work for aligning multilingual NLP with real communicative practice, with the goal of building AI systems that more reliably serve diverse communities. This paper summarizes and draws heavily on my PhD thesis proposal."
}