8 Principles of Responsible ML
Framework for building responsible ML systems with governance principles.
Provides eight foundational principles for responsible machine learning development and deployment. Offers guidance on implementing AI governance practices across organizations. Used by ML teams and compliance officers to align development with ethical standards. Open-source approach enables community contribution and transparency in responsible AI practices.
Adjacent tooling.
AI Governance & Compliance (EY Global)
Enterprise AI governance and compliance framework aligned with EU AI Act requirements.
AI Trust Services (KPMG)
KPMG's trusted AI framework for governance, risk, and compliance.
Aporia
Monitor, test, and safeguard LLMs in production with observability and guardrails.
Atlan
Data lineage and governance for AI systems with policy enforcement.
Centraleyes
AI-powered risk register and policy management for EU AI Act compliance.
Certa
AI-driven third-party risk assessments and compliance management.