自主无人机消防中的问责制：来自实地试验的见解
Accountability in Autonomous Drone-Based Firefighting: Insights From a Field Trial
AI总结：
通过实地试验，研究自主无人机在消防中对问责制的影响，发现角色不确定性和人机交互新问题，并提出建议以负责任地整合无人机。
摘要：
有一个不断增长的研究领域探索自主无人机如何提高应急响应效率。将这些（人工）智能体整合到现有的应急团队和工作流程中，可能会显著影响既定的问责关系。本文研究了自主无人机如何在复杂的社会技术系统中影响问责归属。通过两次真实的消防实地试验，该研究揭示了当无人机在组织层面部署时，围绕问责制存在显著的不确定性。利用Bovens的问责框架，识别出两个挑战：（1）无人机在层级结构中的角色不确定性，导致问责归属混乱；（2）新形式的人机交互引入了额外的问责相关问题。基于这些见解，本文提出了可操作的建议，以支持在不损害问责制的前提下将自主无人机负责任地整合到消防行动中。这些发现为政策制定者提供了实用指导，并有助于进一步研究自主系统中的问责制。
英文摘要：
There is a growing research field exploring how autonomous drones can enhance emergency response effectiveness. Integrating these (artificial) agents into existing emergency teams and workflows may significantly impact established accountability relationships. This paper examines how autonomous drones affect accountability attribution within complex socio-technical systems. Drawing on two real-life field trials in firefighting, the study reveals substantial uncertainty around accountability when drones are organizationally deployed. Using Bovens' accountability framework, two challenges are identified: (1) uncertainty about the role of drones within hierarchical structures, leading to confused accountability ascriptions; and (2) new forms of human-drone interactions introducing additional accountability-relevant issues. Based on these insights, the paper proposes actionable recommendations to support the responsible integration of autonomous drones into firefighting operations without undermining accountability. These findings offer practical guidance for policymakers and contribute to further research on accountability in autonomous systems.
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。
