T/HCPA 005-2025 Active Group standards

T/HCPA 005-2025 Digital intelligence platform algorithm cultural inclusiveness and career identity evaluation specification

T/HCPA 005-2025 Digital intelligence platform algorithm cultural inclusiveness and career identity evaluation specification

Publish Date: 2025-06-19 Implement Date: 2025-06-29 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/HCPA 005-2025
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Integrated Information Technology (IT)
Publish Date: 2025-06-19
Implement Date: 2025-06-29

Scope

Scope: This document specifies the objectives, indicator system, data collection, calculation methods, grading, reporting, and improvement requirements for evaluating cultural inclusivity and professional identity at the algorithm level on digital intelligent platforms (hereinafter referred to as "platforms"). Applicable to self-evaluation of platforms such as recommendation systems, search engines, large models, and content distribution networks, as well as third-party assessments or regulatory reviews; Main technical content: 3. Terminology and definitions 3.1 Cultural inclusivity: The degree to which algorithms present and actively support different cultural backgrounds, languages, values, and expressions fairly. 3.2 Professional identity: The impact and consistency of algorithm outputs on users' professional roles, professional images, and their sense of value. 3.3 Algorithm evaluation unit: A group of algorithm models, rules, or pipelines that can be independently evaluated in terms of functionality, data sources, or model structure. 3.4 Bias factor: Variables or processes that cause systematic unfairness in cultural or professional dimensions in algorithm outputs. 4. Overall evaluation architecture 4.1 Architecture elements: Input layer, algorithm layer, output layer. 4.2 Evaluation stages: Data – Algorithm – Results – User feedback – Continuous improvement. 4.3 Process: Planning – Indicator mapping – Data collection – Calculation and validation – Grade determination – Report issuance – Improvement tracking. 5. Evaluation indicator system 5.1 Cultural inclusivity indicators (CI) Serial number First-level indicator Second-level indicator Suggested weightage /% CI-1 Language diversity coverage Language types and availability of minority languages 20 CI-2 Cultural symbol balance Proportion of visual/auditory/textual symbols 15 CI-3 Value consistency with international cultural diversity conventions 15 CI-4 N

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