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Comment by Stefan Eder

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Regardless of regulatory scope, organisations may benefit from treating internal AI deployments with the same governance discipline as external systems. This can include: internal AI inventories and documentation, structured risk assessments before deployment, continuous monitoring of system changes, and clearly defined accountability structures.
Unverified (Mar 10, 2026)
Source:
Stefan Eder, “Internal Deployment Gaps in AI Regulation,” LinkedIn post, March 10, 2026.
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Policy proposals and claims

AI labs should conduct risk assessments before high-stakes internal deployment of frontier models
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