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 37181 - Smart community infrastructures - Smart transportation by autonomous vehicles on public roads



This document describes the concept and goals of smart transportation by autonomous vehicles on public roads. It provides guidelines for the successful introduction and organisation of autonomous vehicles, with the aim of enhancing the safety of public road transportation and addressing the challenges to cities such as an aging population and diverse travel demands. This document focuses on the deployment of autonomous vehicles as an operational system for actual use on public roads. This document is intended for those in academia, autonomous vehicle developers, policy makers, research institutions, road infrastructure operators, public road administrators, testing inspection and certification bodies, and vehicle manufacturers. This document targets autonomous vehicle services except on-demand responsive services with shared vehicles. For on-demand responsive passenger services with shared vehicles, see ISO 37168. © British Standards Institution 2022

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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Tags:

  • Human-computer interaction
  • human-centred design
  • safety

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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.