A new paper introduces AIGen, a tool designed to automate the generation of AI Bills of Materials (AIBoMs). AIGen integrates with MLOps frameworks like MLflow and utilizes a combination of mining heuristics and large language models to create machine-readable inventories of AI system components. The tool supports various AI frameworks, including Hugging Face, PyTorch, and TensorFlow, and is built with a plugin architecture for extensibility. AIGen aims to facilitate compliance with regulations such as the European Union AI Act and the NIST AI Risk Management Framework. AI
IMPACT Automates compliance and transparency for AI supply chains, aiding adherence to regulations like the EU AI Act.
RANK_REASON The cluster contains a research paper detailing a new tool for AI Bill of Materials generation. [lever_c_demoted from research: ic=1 ai=1.0]
- AI Bills of Materials
- AIGen
- European Union AI Act
- Hugging Face
- ISO/IEC 42001
- large-language models
- MLflow
- NIST AI Risk Management Framework
- PyTorch
- SPDX 3.0
- Tensorflow
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