Setting the Standard for Trustable AI: UK-Funded TAIBOM Project Launches Industry Review Phase
Setting the Standard for Trustable AI: UK-Funded TAIBOM Project Launches Industry Review Phase

Organisations Invited to Contribute Use-Cases
The Trustable AI Bill of Materials (TAIBOM), a UK government-seeded initiative, is rapidly emerging as a leading standard for building trust in artificial intelligence systems. As AI technologies are increasingly deployed in critical, sensitive, and high-risk contexts, TAIBOM delivers a structured, transparent way to document and manage AI systems across their full supply chain—from training data to model outputs.
Backed by a powerhouse consortium including BSI, Copper Horse, NquiringMinds, the University of Oxford, and TechWorks-AI, TAIBOM is built on both practical implementation and rigorous standards. AI is the preeminent “complex system”, and in today’s shifting geopolitical environment, strong supply chain management is critical for even relatively simple systems, and for complex systems, the supply chain problem is that much harder. TAIBOM offers a robust framework that helps developers, auditors, and decision-makers ask the right questions:
- What AI system is being used, what are the components and what is their origin?
- What data was the system trained on and what is the provenance of that data?
- Is the integrity of the system assured?
- Were there any vulnerabilities on the servers on which it was trained?
- What are the licensing terms under which this system is made available?
The TechWorks-AI community has played a pivotal role in supporting the TAIBOM project, with its mission to build trust in artificial intelligence closely mirroring the organisation’s broader goals. As the leading industry body is committed to fostering collaboration, innovation, and the adoption of best practices across diverse AI applications—from autonomous platforms and robotics to semiconductor design and life sciences…
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