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Kayoon Kim

Kayoon Kim

Studying with , for .

Agent normsAI in organizationHALLMARKSim-DSEOnline petitionsPreferential BOLLM finetuningDropout modelAuto-labelingCOVID dataRecommendersPetition claimsCOVID memory

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Publications

6 publications, newest first

  1. 2026Four Passengers, One Decision: How LLM Agents Negotiate and Form Norms in a Shared CarKayoon KimWork in progressSociety, AI agents & ML, Human decisions
  2. 2026Between Plausible and Viable: How Designers and Their Managers Rework Around AI That Performs ItKayoon Kim, Jan Henry Belz, Hirokazu ShiradoWork in progressSociety, Human decisions
  3. 2026HALLMARK: How to Diagnose LLM Citation Verifiers and When to Deploy ThemKayoon Kim, Wieland Brendel, Patrik ReizingerManuscript · ICLR 2027 · Under reviewAI agents & ML
  4. 2026Sim-DSE: Mediating Multi-User Automations in Cars through Simulation-Augmented Decision Space ExplorationJan Henry Belz*, Kayoon Kim*, Enrico Rukzio, Tobias Grosse-Puppendahl *equal contributionPoster · AutomotiveUI 2026 Adjunct (Works in Progress), 94–99AI agents & ML, Human decisions
  5. 2024Mobilizing Grievances in the Internet Age: The Case of National Online Petitioning in South Korea, 2017–2022Kayoon Kim, Chan S. SuhJournal article · PLOS ONE, 19(5): e0302373Society
  6. 2021Claiming for Rights: The Changing Landscape of Issues and Claims in the National Petition of South Korea, 2017–2020Kayoon KimPoster · International Postgraduate and Academic Conference, Chung-Ang University, Ritsumeikan University and National Taipei UniversitySociety
Kayoon Kim

Bio

My research vision is to ensure humanity benefits from AI and algorithms that facilitate interactions between people and systems in everyday life. I characterize problems and develop data-driven solutions, and work on enhancing human decision-making while preventing marginalization through algorithms and design.

Currently a student researcher in the Robust Machine Learning group at ELLIS Institute Tübingen, and an M.S. student in Quantitative Data Science at the University of Tübingen. Previously a research intern at Porsche Human-Centered AI Research and Bosch Research (BCAI), and a research assistant at the Methods Center. My bachelor's in Sociology and Computer Science is where the interdisciplinary thread starts; earlier projects were at HIKE Lab, Da Move Lab, and CAU Data Science Lab.