为土耳其电子政务平台设计可落地的AI治理流水线,确保高风险应用合规可控。
GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway
- 分四层构建AI治理流水线,覆盖从部署前到事后全生命周期
- 在9,200+服务中验证,实现偏差测试、风险分级与实时监控
- 适配欧盟AI法案和土耳其国家战略,适合政府类AI系统落地参考
土耳其电子政务门户(e-Devlet)服务超过6800万注册用户,提供9,200余项政府服务,正逐步将人工智能集成至面向公民的应用,如聊天助手和资格评估系统。然而,当前缺乏将欧盟《人工智能法案》、经合组织AI原则及土耳其国家人工智能战略等高层政策框架,与集中式电子政务平台中AI部署实践相连接的结构化技术治理基础设施。本文提出GovAI-Pipe,一种基于设计科学研究方法构建的四层治理流水线,将AI模型生命周期映射至治理检查点:(1)部署前验证,涵盖偏差测试、可解释性及隐私影响评估;(2)部署治理,包括风险等级分类与审批流程;(3)运行时监控,实现漂移检测、公平性追踪与人工介入升级;(4)事后事件治理,支持审计日志、回滚机制与公民申诉。各层均对应欧盟AI法案、GDPR数据保护框架及国家人工智能战略的具体条款。通过两个高风险e-Devlet应用场景验证,证明该框架可将治理原则转化为可审计、可执行的技术组件。
原文摘要 · Abstract (English)
Turkey's e-Government Gateway (e-Devlet) serves over 68 million registered users with more than 9,200 government services, and is increasingly integrating artificial intelligence into citizen-facing applications such as chatbot assistants and eligibility assessments. However, no structured technical governance infrastructure currently connects high-level AI policy frameworks, such as the EU AI Act, OECD AI Principles, and Turkey's own National AI Strategy, to the operational reality of deploying AI within a centralized e-government platform. We propose GovAI-Pipe, a four-layer governance pipeline designed using Design Science Research methodology that maps the AI model lifecycle to governance checkpoints: (1) pre-deployment validation for bias testing, explainability, and privacy impact assessment; (2) deployment governance for risk-tier classification and approval workflows; (3) runtime monitoring for drift detection, fairness tracking, and human-in-the-loop escalation; and (4) post-incident governance for audit trails, rollback, and citizen redress. Each layer is anchored to specific provisions of the EU AI Act, the GDPR data protection framework, and the National AI Strategy. We demonstrate the framework through two high-risk e-Devlet use cases, showing how GovAI-Pipe operationalizes governance principles as auditable, technical pipeline components.
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