{
  "id": 15826,
  "url": "https://arxiv.org/abs/2608.01346",
  "title": "Hybrid AI for Explainable and Accurate Conversational Agents in eGovernment",
  "summary": "arXiv:2608.01346v1 Announce Type: new Abstract: We present a so-called Conversational Hybrid AI (CHAI) architecture for building explainable and accurate conversational agents for eGovernment. We exemplify the architecture with a running prototype of a Covid-19 Chatbot based on a governmental guideline directed to citizens. We also describe an ongoing case on case management for supplementary grants for students with disabilities. We use large language models (LLMs) as a bounded conversational i",
  "authors": "Ilias Chalkidis, Vlad Paul Cosma, S{\\o}ren Debois, Daniel Hershcovich, Thomas Hildebrandt, Hugo A. L\\`opez, Amogh Raina, Konstantinos Varvoutas, Tilman Zuckmantel",
  "category": "research",
  "topics": "children-education,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T04:00:00.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/15826",
  "original_url": "https://arxiv.org/abs/2608.01346",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}