Challenges to the Monitoring of Deployed AI Systems

2026

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AI-generated summary

1) This report addresses the critical need for robust monitoring of deployed AI systems by identifying current challenges and proposing solutions to ensure their reliability and safety.
2) * Explores six key monitoring categories: functionality, operational, human factors, security, compliance, and large-scale impacts.
* Details cross-cutting and category-specific challenges, including gaps in trusted methods, visibility issues, pace of change, organizational culture, and resource requirements.
* Highlights open questions and areas for future research to advance the field of AI monitoring.
3) AI monitoring, post-deployment, system monitoring, AI challenges, AI safety

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