{
  "id": 17822,
  "url": "https://arxiv.org/abs/2608.06865v1",
  "title": "Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection",
  "summary": "The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. However, existing deepfake video benchmarks provide limited coverage of recent synthesis methods and generally lack reliable fine-grained textual annotations. Meanwhile, conventional detectors and multimodal large language models (MLLMs), whether operating as a single model or relying on a single analytical perspective,",
  "authors": "Xuechao Zou, Shun Zhang, Kai Li, Yi Zhou, Xinyu Sun, Yuhui Chen et al.",
  "category": "research",
  "topics": "safety-alignment,misinformation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T06:44:14.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/17822",
  "original_url": "https://arxiv.org/abs/2608.06865v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}