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Accountability Taxonomy for AI Software Bill of Materials

Offered By: Linux Foundation via YouTube

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Artificial Intelligence Courses Python Courses MLOps Courses MLFlow Courses Software Bill of Materials Courses

Course Description

Overview

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Explore the application of Software Bill of Materials (SBOM) concepts to AI accountability in this 30-minute conference talk. Delve into a taxonomy for system trustworthiness and accountability based on the European Union Artificial Intelligence Act requirements and related US bills. Learn how software developers can capture informational artifacts for automated auditing, and examine the crosswalk with Software Package Data Exchange (SPDX) 3.0 AI Profile. Witness a demonstration of a small open-source Python package showcasing standardized taxonomy terms for documentation and record-keeping in MLOps, with an example in an MLflow environment.

Syllabus

Accountability Taxonomy for AI Software Bill of Materials - Arthit Suriyawongkul


Taught by

Linux Foundation

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