RAI Audit Kit: Evidence-Grade Responsible AI Audits

▤ Summary

RAI Audit Kit is an open-source Python suite for running repeatable, evidence-backed responsible AI audits. It targets ML, deep learning, LLM, RAG, and agentic systems and produces findings, evidence manifests, model cards, and audit reports. The toolkit emphasizes modular audit workflows, CI/CD integration, and structured evidence collection. It also positions itself as a technical review tool rather than a compliance certification shortcut. The first article in the series introduces the project and previews upcoming audit workflows for different AI system types.

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