Modeling needs user modeling

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
1-6
Series
Frontiers in Artificial Intelligence, Volume 6
Abstract
Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems. Putting the humans back into the models would enable modeling a broader set of problems, through iterative modeling processes in which AI can offer collaborative assistance. However, this requires advances in how we scope our modeling problems, and in the user models. In this perspective article, we characterize the required user models and the challenges ahead for realizing this vision, which would enable new interactive modeling workflows, and human-centric or human-compatible machine learning pipelines.
Description
Funding Information: This work was supported by the Academy of Finland (Flagship programme: Finnish Center for Artificial Intelligence FCAI and decision 345604) Humane-AI-NET and ELISE Networks of Excellence Centres (EU Horizon: 2020 grant agreements 952026 and 951847), UKRI Turing AI World-Leading Researcher Fellowship (EP/W002973/1), and a KAUTE Foundation personal grant for MÇ. | openaire: EC/H2020/952026/EU//HumanE-AI-Net | openaire: EC/H2020/951847/EU//ELISE
Keywords
AI assistance, human-centric artificial intelligence, human–AI collaboration, human–AI interaction, machine learning, probabilistic modeling, user modeling
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Citation
Çelikok, M M, Murena, P A & Kaski, S 2023, ' Modeling needs user modeling ', Frontiers in Artificial Intelligence, vol. 6, 1097891, pp. 1-6 . https://doi.org/10.3389/frai.2023.1097891