T/SCSTA 401-2025 Active Group standards

T/SCSTA 401-2025 Guidelines for credit evaluation of artificial intelligence enterprises

Publish Date: 2025-09-23 Implement Date: 2025-10-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us

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Basic Information

Standard Code: T/SCSTA 401-2025

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: The representation method of data elements

ICS Name: Other services

Publish Date: 2025-09-23

Implement Date: 2025-10-01

Scope

This document establishes the basic principles for conducting credit evaluations of artificial intelligence enterprises and provides guidance and suggestions on credit evaluation indicators, evaluation methods, and evaluation procedures for artificial intelligence enterprises. This document is applicable to credit institutions conducting credit evaluations of artificial intelligence enterprises. Other related evaluation activities may refer to and use it as a reference. This document mainly stipulates the content of the scope, normative reference documents, terms and definitions, basic principles, evaluation indicators, evaluation methods and grade setting, evaluation procedures, etc., aiming to build a systematic credit evaluation process and framework for artificial intelligence enterprises. 1. Scope. Clarifies the content and scope of application of the standard, which is applicable to credit institutions conducting credit evaluations of artificial intelligence enterprises. Other related evaluation activities may refer to and use it as a reference. 2. Normative reference documents. Lists the main reference documents, including GB/T 22116 "Enterprise Credit Rating Indication Methods", GB/T 22117 "Credit Basic Terminology", GB/T 23794 "Enterprise Credit Evaluation Indicators", etc. 3. Terms and definitions. Defines key terms such as artificial intelligence, artificial intelligence enterprises, credit, enterprise credit, and enterprise credit evaluation. 4. Basic principles. Specifies the principles of objectivity, multi-dimensionality, and dynamism that should be followed. 5. Evaluation indicators. Proposes evaluation indicators for artificial intelligence enterprises, including business condition evaluation indicators (basic business condition evaluation indicators and special business condition evaluation indicators), financial condition evaluation indicators, and compliance and safety evaluation indicators, and provides related suggestions for indicator selectio