EU AI Act & Biometrics¶
Definition¶
The EU AI Act (2024) is the world's first comprehensive AI regulation. It classifies biometric identification systems as high-risk, imposing strict requirements on eKYC AI models.
Classification for eKYC¶
| System | AI Act Classification | Requirements |
|---|---|---|
| Remote biometric identification (real-time) | Prohibited (with exceptions for law enforcement) | Not applicable to eKYC |
| Remote biometric identification (post) | High-risk | Conformity assessment, registration, transparency |
| Face recognition for verification (1:1) | High-risk | Risk management, data governance, testing, documentation |
| Face liveness detection | High-risk (part of biometric system) | Same as above |
| Document OCR | Limited/minimal risk | Transparency obligations only |
High-Risk Requirements¶
| Requirement | What It Means for eKYC |
|---|---|
| Risk management system | Document and mitigate risks of bias, errors, security vulnerabilities |
| Data governance | Training data must be relevant, representative, free from errors |
| Technical documentation | Full documentation of model architecture, training, performance |
| Record-keeping | Log all verification decisions for audit |
| Transparency | Inform users they're interacting with AI, explain decisions |
| Human oversight | Ability for human review of AI decisions |
| Accuracy & robustness | Meet defined accuracy benchmarks, resilience to adversarial attacks |
| Bias testing | Test for and mitigate demographic performance differentials |
| Conformity assessment | Third-party assessment before market deployment |
Key Takeaways¶
Summary
- EU AI Act classifies eKYC biometric systems as high-risk — significant compliance requirements
- Bias testing and transparency are mandatory — must test across demographics and explain decisions
- Conformity assessment required before deployment — third-party validation
- Takes effect 2025-2027 in phases — eKYC providers must prepare now
- This will become a global template — other jurisdictions likely to follow