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cs.MA2026
Agentic-Priors: Using Large Language Models to Address the Cold Start Problem in Preference Elicitation
Bruno Arcanjo, Zhaoxing Li, Sebastian Stein
An agent that learns a user's preferences from their choices faces a cold start problem: before any choices are observed, it must rely solely on a prior. Informative priors are usu…
cs.CY2026
Three Lessons from Citizen-Centric Participatory AI Design
Eike Schneiders, Sarah Kiden, Beining Zhang +5
This workshop paper examines challenges in designing agentic AI systems from a citizen-centric perspective. Drawing on three participatory workshops conducted in 2025 with members…