OpenAI Control Room tracks and stops AI workloads
OpenAI: Introducing Control Room: Human control over AI workloads
Learn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
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Control Room is a central system designed to track and stop AI model workloads across research infrastructure when safety or security problems are detected. The system works by requiring every research job to receive approval before it can request output from a model, and it can halt model output within 35 seconds of a decision to intervene. This matters because as AI models become more powerful, the ability to quickly detect and stop problematic behavior is increasingly critical to managing associated risks. The system is built to remain functional even if other systems fail, operating at the inference layer rather than in individual research code to ensure consistent oversight across all model requests.
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Control Room: A central system to track and stop model workloads across our research infrastructure
Learn how OpenAI’s Control Room tracks model workloads across our research infrastructure and can rapidly stop them when safety or security concerns arise.
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