AI governance refers to the frameworks, policies, and standards that ensure the responsible development and use of artificial intelligence.
Purpose
- Ensures compliance in regulated sectors (e.g. finance, healthcare).
- Aligns AI deployment with legal, ethical, and societal norms.
Key Constraints
- Legal compliance
- Transparency (explainability, auditability)
- Security (e.g. adversarial robustness)
- Historical bias in data and models
Notable Standards & Frameworks
- EU AI Act – risk-based regulatory framework.
- OWASP LLM Top 10 – security-focused guidelines for large language models.
Tension
- Governance vs Innovation: Oversight can slow down progress, but lack of it risks harm.
- Ongoing challenge: Can bureaucracy keep pace with the speed of AI advancement?