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Technical Standards
Technical standards are documented specifications and requirements that define how AI systems should be built, tested, and operated to ensure consistency, interoperability, and quality across organizations. In AI governance, technical standards establish baseline criteria for model development, data handling, security protocols, and performance evaluation, enabling enterprises to systematically manage risks and comply with regulatory expectations. Adherence to recognized technical standards (such as ISO/IEC frameworks, NIST guidelines, or industry-specific protocols) reduces implementation uncertainty and facilitates third-party audits and certifications essential for regulated industries.
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