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Don't Guess, Escalate: Towards Explainable Uncertainty-Calibrated AI Forensic Agents

Giulia Boato, Andrea Montibeller, Edward Delp, Luisa Verdoliva, Daniele Miorandi

TL;DR

This work proposes AI forensic agents: reliable orchestrators that select and combine forensic detectors, identify provenance and context, and provide uncertainty-aware assessments to improve the authenticity verification process.

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.

Don't Guess, Escalate: Towards Explainable Uncertainty-Calibrated AI Forensic Agents

TL;DR

This work proposes AI forensic agents: reliable orchestrators that select and combine forensic detectors, identify provenance and context, and provide uncertainty-aware assessments to improve the authenticity verification process.

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.

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