{
  "id": 3655,
  "url": "https://arxiv.org/abs/2605.27348v2",
  "title": "When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection",
  "summary": "Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partial-edit settings where the manipulated region is small and surrounded by photometrically authentic content. We introduce Social Gaze Consistency, a high-level semantic cue defined as the mutual coherence of gaze direction, head-eye alignment, and pupil placement between interacting individuals, and show that it constitu",
  "authors": "Jihyeon Kim, Sohee Kim, Soosan Lee, Souhwan Jung, James Matthew Rehg, Hyesong Choi",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-26T17:50:17.000Z",
  "fetched_at": "2026-07-14T16:30:23.248Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3655",
  "original_url": "https://arxiv.org/abs/2605.27348v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}