Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

ISO/IEC DTS 22604 - Information technology – Biometric recognition of subjects in motion in access-related systems



This document establishes requirements for development of biometric solutions for verification and identification processes for secure access without physical contact with any device at any time. The solution acquires the biometric characteristics that are captured while the data subjects are in motion to verify or identify the individuals requiring access, and thus controlling access using contactless biometrics. © ISO/IEC 2024 All rights reserved

The information about this standard has been compiled by the AI Standards Hub, an initiative dedicated to knowledge sharing, capacity building, research, and international collaboration in the field of AI standards. You can find more information and interactive community features related to this standard by visiting the Hub’s AI standards database here. To access the standard directly, please visit the developing organisation’s website.

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.