Glossary term
High-Risk AI System
Subject: Technology, Cyber and Data, AI Governance and Risk
A high-risk AI system is one that the EU AI Act places in a category where errors could seriously affect safety or fundamental rights, so it must meet strict requirements before and after sale.
Explanation
Under the Act, a system is high-risk in two main ways. It may be a safety component of a product already covered by EU product-safety law, such as medical devices or machinery. Or it may fall in a listed use area, including recruitment, education and exams, credit scoring, access to essential public services, law enforcement, migration and the administration of justice. Providers must run a risk management process, use good-quality data, keep technical records and logs, give clear instructions, allow human oversight, and reach suitable accuracy and security. They also complete a conformity assessment, apply a CE marking and, for most listed uses, register the system in an EU database. Deployers have duties too, such as using the system as instructed and monitoring it. A product team learns early whether it falls under this label, because the label alone brings the largest set of duties under the Act.
Example
A manufacturer buys a vendor tool that ranks job applicants for its plants in the EU. Recruitment is a listed high-risk use. The vendor supplies technical documentation and a conformity declaration, and the manufacturer, as deployer, assigns trained staff to oversee the rankings, keeps system logs, and checks that the input data matches its own applicant pool.
Not to be confused with
- AI Risk Tiers
- AI risk tiers is the general idea of grading AI by harm; high-risk is one specific legal category defined in the EU Act.