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.

Privacy Impact Risk Assessment System for Remote Biometrics and Facial Recognition



Privacy Impact Risk Assessment System for Remote Biometrics and Facial Recognition

As remote biometrics AI systems and facial recognition technology become more sophisticated and widely used, it is essential for organizations to have a plan in place to mitigate the risks associated with their use. Anekanta® AI’s Privacy Impact Risk Assessment System™ for remote biometrics and facial recognition technology helps to identify and address these risks, and recommends the steps required to be compliant with all applicable laws and regulations, and demonstrate that the use of this powerful technology is responsible and ethical.

Anekanta® AI’s system is based on recognized global principles and standards, including the pending EU AI Act. It takes into account the specific requirements of the region, nation, and locality, as well as the intended purpose of the system.

The automated report provides an independent pre-mitigation opinion and a range of specific recommendations to help steer towards compliance and minimize the impact on the rights and freedoms of individuals. The independent report is tailored to the specific use case and provides actionable insights into:

  • Potential risk level pre-implementation
  • Legislation and regulation governing facial recognition software in your region
  • Local ordinances with specific requirements for your city or state
  • Recommended mitigations that consider all risks, including AI governance, human rights, union law, employment rights, privacy rights, impact assessments, prohibitions, voluntary and harmonized standards, and good practice
  • Potential risk level if mitigations are implemented

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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.