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 TR 24028:2020 - Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence
This document surveys topics related to trustworthiness in AI systems, including the following:
- approaches to establish trust in AI systems through transparency, explainability, controllability, etc.;
- engineering pitfalls and typical associated threats and risks to AI systems, along with possible mitigation techniques and methods; and
- approaches to assess and achieve availability, resiliency, reliability, accuracy, safety, security and privacy of AI systems.
The specification of levels of trustworthiness for AI systems is out of the scope of this document. © 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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Tags:
- accountability
- data quality
- robustness
- privacy
- Security and resilience
- Accuracy and performance
- safety
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