General
AI Standardization
Development of technical standards for AI interoperability, safety, and compliance.
Definition
AI Standardization involves the development of technical standards governing AI systems. Major standardization efforts:
- ISO/IEC: ISO/IEC 42001 (AI management systems), ISO/IEC 23894 (AI risk management), ongoing work on AI lifecycle standards
- IEEE: P7000 series on ethical AI, transparency, and algorithmic bias
- NIST: AI RMF, AI standards coordination
- CEN-CENELEC: EU standards supporting AI Act implementation
Standards serve multiple purposes:
- Regulatory compliance (EU AI Act references harmonized standards)
- Industry interoperability and best practices
- Certification and conformity assessment
- International trade facilitation
Organizations increasingly adopt AI standards for governance frameworks and regulatory compliance.
Sources
- •Regulation (EU) 1025/2012
- •CEN/CENELEC Standards
Related Terms
AI Standardization System
Hierarchical, interoperable framework of AI standards....
management standards
Testing, certification, safety assurance and lifecycle governance....
AI Standards Exchange
Mechanism for aligning technical standards globally....
standards/conformity assessment
Development and piloting of standards and accreditation processes....
foundational technical standards
Core algorithms, data formats, and evaluation methods....