@article{dutta-etal-2025-problem,
    title = "Problem Solving Through Human{--}{AI} Preference-based Cooperation",
    author = {Dutta, Subhabrata  and
      Kaufmann, Timo  and
      Glava{\v{s}}, Goran  and
      Habernal, Ivan  and
      Kersting, Kristian  and
      Kreuter, Frauke  and
      Mezini, Mira  and
      Gurevych, Iryna  and
      H{\"u}llermeier, Eyke  and
      Sch{\"u}tze, Hinrich},
    journal = "Computational Linguistics",
    volume = "51",
    number = "4",
    month = dec,
    year = "2025",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/ingest-eacl/2025.cl-4.8/",
    doi = "10.1162/coli.a.19",
    pages = "1337--1372",
    abstract = "While there is a widespread belief that artificial general intelligence{---}or even superhuman AI{---}is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human{--}AI cooperation and that the current state of the art in generative AI is unable to play the role of a reliable partner due to a multitude of shortcomings, including difficulty in keeping track of a complex solution artifact (e.g., a software program), limited support for versatile human preference expression, and lack of adapting to human preference in an interactive setting. To address these challenges, we propose HAI-Co2, a novel human{--}AI co-construction framework. We take first steps towards a formalization of HAI-Co2 and discuss the difficult open research problems that it faces."
}