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How heavy are the duties for AI systems classified as 'high-risk'
AI used in hiring, credit, education, and healthcare is often high-risk. Knowing the obligation list lets you judge whether to enter.
Not all AI faces the same regulatory intensity. Systems used in hiring, credit scoring, educational assessment, and critical infrastructure are often classified high-risk, with markedly heavier duties.
Typical obligations include: a risk-management system, quality and representativeness of training data, technical documentation and logging, human oversight, and robustness and accuracy requirements.
For teams going global, the key is to judge at project kickoff whether the product falls into a high-risk use, because these duties deeply shape architecture, cost, and timeline.
If you do enter a high-risk use, writing compliance into product requirements early keeps rework cost low.