{
  "id": 3610,
  "url": "https://arxiv.org/abs/2605.28168v1",
  "title": "OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings",
  "summary": "Large language models (LLMs) have demonstrated promising capability in generating reward functions for deep reinforcement learning (DRL)-based building energy management. However, their potential to exhibit or exacerbate disparities in occupant comfort across heterogeneous demographic populations remains unexplored. We present OccuReward, a framework investigating how LLM-mediated reward design affects demographic equity. Our contribution is three-fold: the introduction of the Comfort Equity Ind",
  "authors": "Shadmehr Zaregarizi, Khashayar Yavari",
  "category": "research",
  "topics": "bias-fairness,environment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-27T08:50:02.000Z",
  "fetched_at": "2026-07-14T16:30:23.246Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3610",
  "original_url": "https://arxiv.org/abs/2605.28168v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}