Building the Trustable AI Bill of Materials (TAIBOM)

Description

This virtual session introduces the Trustable AI Bill of Materials (TAIBOM), a new framework for describing, documenting, and managing AI systems across their full lifecycle and supply chain. TAIBOM provides a rigorous, versioned, and auditable “bill of materials” for AI, covering software, data, models, dependencies, inferencing systems, and licensing, with the aim of improving transparency, accountability, and security.

The session brings together stakeholders from industry, standards bodies, policy, and the wider AI ecosystem to explore how TAIBOM works in practice, why it is increasingly critical for trustworthy AI deployment, and how it aligns with emerging UK and international AI governance and standardisation efforts.

What to expect:

• An introduction to TAIBOM, its purpose, and the problems it addresses across AI supply chains.
• A technical walkthrough of how TAIBOM works under the hood, including identity, dependencies, annotations, and inferencing risk propagation.
• Discussion of who can benefit from TAIBOM, including developers, data owners, AI providers, auditors, regulators, and end-users.
• Exploration of TAIBOM’s alignment with initiatives such as the DSIT Code of Practice and ETSI TS 104 223, and its relevance to future standards development.
• A moderated Q&A session allowing attendees to ask questions and engage directly with the speakers.

The aims of the session are to:

• Share information and background on TAIBOM and its underlying technical framework.
• Improve understanding of how TAIBOM supports transparency, accountability, and security in AI systems.
• Highlight practical use cases for deploying, auditing, certifying, or governing AI in regulated or high-risk settings.
• Explore opportunities for alignment with existing and emerging AI security, policy, and standards initiatives.
• Explain how organisations and individuals can get involved in the future development and adoption of TAIBOM.

Attendees will gain:

• A clear understanding of what TAIBOM is and why it is essential for modern AI deployments.
• Insight into the technical building blocks of TAIBOM and how they apply across AI lifecycles and supply chains.
• Practical examples of how TAIBOM can improve security, licensing clarity, and supply-chain transparency.
• Awareness of who is already backing TAIBOM across industry, academia, and standards bodies.
• An opportunity to engage with experts shaping the future of trustable AI frameworks and standards.

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