Challenges to the Monitoring of Deployed AI Systems

2026

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AI-generated summary

This report identifies critical challenges in monitoring deployed AI systems, essential for ensuring their reliability, safety, and responsible integration into society.

* 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.

Tags: AI monitoring, post-deployment, challenges, gaps, barriers

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