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Linux Foundation

Implementing an AI BOM With SPDX 3.0 - Insights From a Real AI4S Project

Linux Foundation via YouTube

Overview

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Learn how to implement an AI Bill of Materials (BOM) using SPDX 3.0 through real-world insights from the AI4S project in this 30-minute conference talk. Discover why modern GenAI pipelines, which combine crawled, external and synthetic data, auxiliary models, and fast-changing policies, require comprehensive tracking to answer basic questions about provenance, copyright, takedowns, and safety. Explore a practical implementation that instruments every pipeline stage—including crawl/download, synthetic generation, preparation, training, and evaluation—to automatically emit SPDX entities and relationships. Examine how this approach creates a complete relationship graph covering all assets: datasets, intermediate artifacts, base/pretrained and derived models, tools, scripts, configurations, and policy events. Understand the "write everything down" methodology designed to reduce manual work while improving transparency and accountability. Gain access to patterns and tooling that can be adapted to manage AI assets, reduce risk, and meet emerging compliance and safety expectations in AI development projects.

Syllabus

Implementing an AI BOM With SPDX 3.0: Insights From a Real AI4S Project - Ryan Tao

Taught by

Linux Foundation

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