@inproceedings{abilov-etal-2025-operationalizing,
    title = "Operationalizing {AI} for Good: Spotlight on Deployment and Integration of {AI} Models in Humanitarian Work",
    author = "Abilov, Anton  and
      Zhang, Ke  and
      Lamba, Hemank  and
      Olson, Elizabeth M.  and
      Tetreault, Joel  and
      Jaimes, Alex",
    editor = "Atwell, Katherine  and
      Biester, Laura  and
      Borah, Angana  and
      Dementieva, Daryna  and
      Ignat, Oana  and
      Kotonya, Neema  and
      Liu, Ziyi  and
      Wan, Ruyuan  and
      Wilson, Steven  and
      Zhao, Jieyu",
    booktitle = "Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-08/2025.nlp4pi-1.16/",
    doi = "10.18653/v1/2025.nlp4pi-1.16",
    pages = "189--195",
    ISBN = "978-1-959429-19-7",
    abstract = "Publications in the AI for Good space have tended to focus on the research and model development that can support high-impact applications. However, very few AI for Good papers discuss the process of deploying and collaborating with the partner organization, and the resulting real-world impact. In this work, we share details about the close collaboration with a humanitarian-to-humanitarian (H2H) organization and how to not only deploy the AI model in a resource-constrained environment, but also how to maintain it for continuous performance updates, and share key takeaways for practitioners."
}