治理

Post-Market Monitoring

定义

The ongoing collection and analysis of data about a deployed AI system's real-world performance and risk profile, required for high-risk AI systems under the EU AI Act. Providers must proactively detect and report incidents, model drift, and new risks throughout the product's lifecycle.

相关术语

Model Drift

The degradation of a deployed model's performance over time as the statistical properties of production data diverge from its training distribution. Model drift monitoring is a key MLOps discipline and is implicitly required by the EU AI Act's post-market monitoring obligations.

AI Incident Reporting

The obligation under the EU AI Act for providers of high-risk AI systems to report serious incidents—where the AI causes harm to health, safety, or fundamental rights—to national market surveillance authorities within defined timeframes.

High-Risk AI System

An AI system classified under the EU AI Act as posing significant risks to health, safety, or fundamental rights. High-risk systems must undergo conformity assessment, maintain technical documentation, enable human oversight, and be registered in an EU database before market deployment.

了解术语只是第一步，将其落地应用才是第二步。

预约一次 Physical AI 适配性沟通，探讨这些 AI 概念如何转化到您所在的具体行业与业务挑战中。