{
  "id": 4315,
  "url": "https://arxiv.org/abs/2605.15034v1",
  "title": "AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models",
  "summary": "Large language models (LLMs) have been extensively studied from computational and cognitive perspectives, yet their behavior as communicative actors in socially structured contexts remains underexplored. This study examines whether LLM-based multi-agent systems exhibit systematic linguistic adaptation in response to perceived social observation contexts -- a question with direct implications for AI governance and auditing. Drawing on Habermas's (1981) Theory of Communicative Action, Goffman's (1",
  "authors": "Vinicius Covas, Jorge Alberto Hidalgo Toledo",
  "category": "research",
  "topics": "regulation,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-14T16:29:38.000Z",
  "fetched_at": "2026-07-14T16:30:54.921Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4315",
  "original_url": "https://arxiv.org/abs/2605.15034v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}