A comprehensive hands-on guide to building AI governance infrastructure in Python. Covers four production-ready components: a model card generator (EU AI Act Annex IV compliant), a bias detection pipeline using Fairlearn with demographic parity and disparate impact metrics, a hash-chained audit trail logger, and a
Table of contents
Table of ContentsPrerequisitesWhat AI Governance Actually Means for DevelopersThe Regulatory Environment: What You Can't IgnoreHow to Build a Model Card GeneratorHow to Build a Bias Detection PipelineHow to Build an Audit Trail SystemHow to Implement Human-in-the-Loop EscalationHow to Test an LLM Application for BiasHow to Integrate Governance into Your CI/CD PipelineThe Pre-Release Governance ChecklistConclusionWhat to Explore NextSort: