Ethical AI Governance
The framework of policies, procedures, and practices that ensure AI systems are developed and used responsibly and ethically.
Combines corporate governance (board oversight, ethics committees) with technical controls (impact assessments, bias checks, explainability requirements) and operational processes (training, audits, KPIs). Ethical AI governance defines clear accountability, risk management pathways, and continuous improvement loops to uphold ethical commitments across the organization.
A multinational deploys Ethical AI Governance by forming an AI ethics committee that reviews each project’s impact assessment, mandates ethical-check gates in development pipelines, tracks ethics KPIs quarterly, and publishes an annual ethics transparency report for stakeholders.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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