Inside the AI Safety and Inspection Lab with Anita Dodia

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Inside the AI Safety and Inspection Lab with Anita Dodia

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In this episode of Safety Third: Autonomous Revolution, Erik talks with Anita Dodia, Laboratory Manager at RMAI, about how testing, inspection, and certification are evolving for AI-enabled safety systems. They explore why traditional functional safety standards struggle with black box AI models, and what it really means to validate systems that are probabilistic, non-transparent, and shaped by complex real-world environments.

Anita explains how robustness testing, simulation, and physical validation can be used to define safe operating boundaries for physical AI. The conversation also touches on emerging standards like ISO/IEC TS 22440, along with the role of accreditation and collaboration across safety and standards community. They discuss why integrating safety into AI system design early on, rather than treating it as a late-stage requirement, determines whether autonomous systems can realistically be tested, validated, and certified.