{"ID":2827590,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.16614","arxiv_id":"2512.16614","title":"Don't Guess, Escalate: Towards Explainable Uncertainty-Calibrated AI Forensic Agents","abstract":"AI is reshaping the landscape of multimedia forensics. We propose AI forensic agents: reliable orchestrators that select and combine forensic detectors, identify provenance and context, and provide uncertainty-aware assessments. We highlight pitfalls in current solutions and introduce a unified framework to improve the authenticity verification process.","short_abstract":"AI is reshaping the landscape of multimedia forensics. We propose AI forensic agents: reliable orchestrators that select and combine forensic detectors, identify provenance and context, and provide uncertainty-aware assessments. We highlight pitfalls in current solutions and introduce a unified framework to improve the...","url_abs":"https://arxiv.org/abs/2512.16614","url_pdf":"https://arxiv.org/pdf/2512.16614v1","authors":"[\"Giulia Boato\",\"Andrea Montibeller\",\"Edward Delp\",\"Luisa Verdoliva\",\"Daniele Miorandi\"]","published":"2025-12-18T14:52:57Z","proceeding":"cs.MA","tasks":"[\"cs.MA\",\"cs.AI\",\"cs.CV\",\"cs.MM\"]","methods":"[]","has_code":false}