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AI Governance

AI governance is the set of policies, frameworks, standards, and practices that guide the responsible development, deployment, and oversight of artificial intelligence systems. It focuses on ensuring AI is ethical, transparent, fair, secure, accountable, and compliant with applicable laws and regulations while minimizing risks and maximizing societal benefits.

Here are 31 public repositories matching this topic...

Self-hosted, tool-agnostic audit trail for the prompts your developers send to AI coding assistants (Claude Code, Cursor, Copilot, Qoder). Captured at the client — the interaction-layer visibility your SIEM/EDR and vendor consoles miss. Multi-tenant, compliance-first.

  • Updated Jul 28, 2026
  • Java
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Website
github.com/topics/ai-governance
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