What EU AI Act means in practice
The EU AI Act is the world's first comprehensive AI-specific regulation, tiering AI systems by risk and applying obligations proportionate to risk. High-risk systems (Annex III: BFSI credit-scoring, HR screening, healthcare diagnostic support, critical infrastructure, education) face requirements including a risk-management system, data governance, technical documentation, record-keeping, transparency, human oversight, accuracy + robustness + cybersecurity, and a conformity assessment. The practical effect on architecture is to push high-risk AI workloads toward auditable, on-prem deployments where the controls are demonstrable to the regulator. For an EU-served regulated workload, sovereign deployment is the cleanest path to AI Act compliance.
Related terms
Sovereign AI →
An architecture where customer data never leaves the network perimeter, model weights run on customer-controlled hardware, inference logs stay in the customer's SIEM, and the entire stack can operate air-gapped.
GDPR →
The EU's General Data Protection Regulation — sets the rules for processing personal data of EU residents, with significant implications for AI systems that touch that data.
HIPAA →
The US Health Insurance Portability and Accountability Act — sets the rules for handling Protected Health Information (PHI) and shapes how US healthcare can use AI on clinical data.
Annex III high-risk AI →
The schedule in the EU AI Act listing AI use cases automatically classified as high-risk — biometric ID, credit scoring, HR screening, healthcare diagnostic support, critical infrastructure, education, justice.
Article 14 (Human Oversight) →
The EU AI Act provision requiring high-risk AI systems to be designed for effective human oversight, including the human's ability to fully understand, decide not to use, and override the system's output.
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All 62 terms, in plain language
Sovereign AI, RAG, agentic AI, IDP, MLOps and the regulations that shape enterprise AI.