Trustworthiness in AI
Focuses on transparency, bias detection, and robustness in artificial intelligence systems.
ISO 24028 is a guidance standard. It offers recommendations rather than auditable requirements, so no accredited body can certify an organisation to ISO 24028. Any claim of "ISO 24028 certification" should be treated with caution.
ISO/IEC 24028 provides an overview of trustworthiness in artificial intelligence, covering key concepts such as transparency, explainability, controllability, and robustness. It establishes a framework for understanding and evaluating the trustworthiness of AI systems throughout their lifecycle.
The standard addresses critical concerns around AI bias, fairness, and accountability, helping organizations build AI systems that stakeholders can trust.
By implementing the guidance in ISO/IEC 24028, organizations can demonstrate their commitment to responsible AI development and deployment, meeting growing expectations from regulators, customers, and the public.
There is no certification to pursue, but an experienced consultant can help you apply ISO 24028 alongside the management system standards you are certified to. Reading the published document is the best starting point.
This page summarises ISO 24028 (current published edition). Always confirm the detail against the published document.