让市民真正理解并干预影响自身生活的政府AI决策。
Towards Meaningful Transparency in Civic AI Systems
- 从用户视角出发，构建可行动的透明机制。
- 强调理解与实际干预能力的结合，而非仅展示技术细节。
- 适合政策制定者、公众和城市治理研究者参考。
人工智能已广泛应用于政府服务，如福利审批、停车罚单等。然而，这些系统常因偏见或错误导致不公，削弱公民与公务人员的决策参与权。透明性本应帮助公众理解决策并参与过程，但当前实践多聚焦于技术性说明，难以被公众理解，且脱离现实行动场景，无法反映决策背后的社技术环境。本文结合以人为本与社会技术系统视角，提出“有意义的透明性”概念：确保公众能真正理解并干预影响自身生活的政府AI系统，实现认知与行动的联结。
原文摘要 · Abstract (English)
Artificial intelligence has become a part of the provision of governmental services, from making decisions about benefits to issuing fines for parking violations. However, AI systems rarely live up to the promise of neutral optimisation, creating biased or incorrect outputs and reducing the agency of both citizens and civic workers to shape the way decisions are made. Transparency is a principle that can both help subjects understand decisions made about them and shape the processes behind those decisions. However, transparency as practiced around AI systems tends to focus on the production of technical objects that represent algorithmic aspects of decision making. These are often difficult for publics to understand, do not connect to potential for action, and do not give insight into the wider socio-material context of decision making. In this paper, we build on existing approaches that take a human-centric view on AI transparency, combined with a socio-technical systems view, to develop the concept of meaningful transparency for civic AI systems: transparencies that allow publics to engage with AI systems that affect their lives, connecting understanding with potential for action.
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