{
  "id": 6482,
  "url": "https://arxiv.org/abs/2604.01346v2",
  "title": "Safety, Security, and Cognitive Risks in World Models",
  "summary": "World models - learned internal simulators of environment dynamics - are rapidly becoming foundational to autonomous decision-making in robotics, autonomous vehicles, and agentic AI. By predicting future states in compressed latent spaces, they enable sample-efficient planning and long-horizon imagination without direct environment interaction. Yet this predictive power introduces a distinctive set of safety, security, and cognitive risks. Adversaries can corrupt training data, poison latent rep",
  "authors": "Manoj Parmar",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-01T19:57:33.000Z",
  "fetched_at": "2026-07-14T16:32:33.099Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6482",
  "original_url": "https://arxiv.org/abs/2604.01346v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}