AIBOM: Understanding the Bill of Materials for AI Systems very simply

Inspiration from original article here

An Artificial Intelligence Bill of Materials (AIBOM) is a comprehensive documentation framework that details all components used in building, training, and deploying AI models. Think of it as a detailed recipe card for AI systems, listing everything from datasets to software dependencies. I have written about SBOMs in past . Read it here

What is an AIBOM?

An AIBOM is a detailed inventory of all the components that make up an AI model. It includes:

1. The model’s name, version, and type
2. The author or organization that developed it
3. Licenses associated with the model
4. Libraries and dependencies
5. Datasets used for training
6. Model architecture and family
7. Input and output types
8. Hardware and software requirements
9. Intended use and potential misuse scenarios

Why is AIBOM Needed?

As AI systems become more complex , understanding their composition and supply chain becomes crucial. AIBOMs serve many important purposes:

1. Security: They help identify potential vulnerabilities in AI models and their components
2. Transparency: AIBOMs provide clarity on how AI models are built…