Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection

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,

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ethics.ai (6 August 2026), “Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection,” evidence record 17980, https://ethics.ai/record/17980 (originally published by HuggingFace Daily Papers).

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