Facial recognition & biometric AI policy
Biometric AI — facial recognition, fingerprint matching, emotion detection — is among the most heavily regulated AI under the EU AI Act. Some uses are outright prohibited; many others are high-risk and carry strict obligations. This generator drafts a governance policy that names what the Act prohibits, defines your permitted use cases, sets storage and retention limits for biometric data, and lays out the transparency duties you owe the people the system is used on.
How it works
You describe the system — what it does, where it is deployed, and the jurisdiction — and choose whether it performs verification (one-to-one), identification (one-to-many), or emotion recognition. The tool flags prohibited and high-risk patterns (such as real-time remote identification in public spaces, or emotion recognition at work), then assembles a policy with a prohibited-use section, a permitted-use section, data-minimisation and retention rules, a transparency-and-notice section, and a human-oversight clause. Everything is generated locally.
Understanding the prohibited vs. high-risk divide
The policy you need depends entirely on which side of this line your use case sits. The EU AI Act draws the distinction on purpose and context:
Outright prohibited under Article 5 includes real-time remote biometric identification in publicly accessible spaces for law enforcement (with very narrow exceptions such as finding a missing child), untargeted scraping of facial images from the internet or CCTV footage to build or expand recognition databases, emotion recognition in workplaces and educational institutions (except for safety or medical reasons), and biometric categorisation that infers protected characteristics such as political opinion or sexual orientation.
High-risk but permitted with obligations (Annex III) includes consent-based biometric access-control in private facilities, post-event remote biometric identification for law enforcement with judicial authorisation, and identity verification systems deployed by public authorities. These use cases require a conformity assessment, technical documentation, audit logging, human oversight, and registration in the EU AI Act database before deployment.
Lower-risk, generally permitted: Consent-based one-to-one verification — for example, a user unlocking their own app with their face — is typically outside the high-risk categories, though it still requires explicit consent under GDPR Article 9 because biometric data is special-category.
Why biometric data demands tighter handling than other personal data
Biometric identifiers cannot be reissued. A password leak is recoverable; a face geometry leak is permanent. The practical implications for any policy you draft:
- Store mathematical templates, not raw facial images, wherever the use case allows — a stolen template is still damaging, but far less reusable across unrelated systems than the original image
- Enforce a hard retention deadline and automate deletion — biometric data held beyond its purpose is a standing liability
- Separate biometric stores from general application data with strict access controls and a dedicated audit trail
Tips and notes
- Check the prohibition flags before anything else. If the use case is prohibited, no governance policy can make it compliant — the design must change.
- Notice is a deployment requirement, not just a document. People must generally know a biometric system is operating; build physical signage and in-app notices into the rollout plan, not just the policy document.
- Workplace biometrics attract heightened scrutiny. Consider whether less invasive alternatives exist, and document why biometrics were deemed necessary.
- Have qualified counsel review the final policy. This tool generates a structured starting point; the legal stakes of getting biometric compliance wrong are severe.