基于AI的英国公共机构文档脱敏：实施差距、监管挑战及人类监督的必要性
AI-Driven Document Redaction in UK Public Authorities: Implementation Gaps, Regulatory Challenges, and the Human Oversight Imperative
AI总结：
本研究探讨了英国公共机构中基于AI的文档脱敏实施现状，揭示了技术与组织间的差距及人类监督的重要性。
摘要：
在公共机构中进行文档脱敏面临关键挑战，因为传统手动方法难以在日益增长的透明度需求与日益严格的数据保护要求之间取得平衡。本研究通过《信息自由法》(FOI)请求，调查了英国公共机构中基于AI的文档脱敏实施情况。尽管AI技术提供了解决脱敏挑战的潜在解决方案，但其在公共部门组织中的实际实施仍鲜有研究。基于来自44个公共机构（涵盖医疗、政府和高等教育部门）的回应，本研究揭示了技术可能性与组织现实之间的显著差距。研究发现AI采用极为有限（只有1个机构报告使用AI工具），正式脱敏政策缺失广泛（50%报告"信息不存在"），以及工作人员培训不足。本研究识别了有效实施AI的三大障碍：记录管理实践差、缺乏标准化脱敏指南以及缺乏专门的人类监督培训。这些发现突显了需要平衡技术自动化与有意义的人类专业知识的社技术方法的必要性。本研究为英国公共机构AI脱敏实践提供了首次实证评估，并为政策制定者在透明度义务、数据保护要求和新兴AI技术之间复杂互动的导航提供了证据支持。
英文摘要：
Document redaction in public authorities faces critical challenges as traditional manual approaches struggle to balance growing transparency demands with increasingly stringent data protection requirements. This study investigates the implementation of AI-driven document redaction within UK public authorities through Freedom of Information (FOI) requests. While AI technologies offer potential solutions to redaction challenges, their actual implementation within public sector organizations remains underexplored. Based on responses from 44 public authorities across healthcare, government, and higher education sectors, this study reveals significant gaps between technological possibilities and organizational realities. Findings show highly limited AI adoption (only one authority reported using AI tools), widespread absence of formal redaction policies (50 percent reported "information not held"), and deficiencies in staff training. The study identifies three key barriers to effective AI implementation: poor record-keeping practices, lack of standardized redaction guidelines, and insufficient specialized training for human oversight. These findings highlight the need for a socio-technical approach that balances technological automation with meaningful human expertise. This research provides the first empirical assessment of AI redaction practices in UK public authorities and contributes evidence to support policymakers navigating the complex interplay between transparency obligations, data protection requirements, and emerging AI technologies in public administration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
