论文标题
在危机弹性管理方面的负责人AI的路线图
Roadmap Towards Responsible AI in Crisis Resilience Management
论文作者
论文摘要
新颖的数据传感和AI技术正在在分析危机的弹性分析中发现实际使用，揭示了需要考虑负责任的人工智能（AI）实践如何减轻有害结果并保护脆弱人群。在本文中，我们提出了一个负责任的AI路线图，该路线图嵌入了危机信息管理圈中。该路线图包括六个主张，以突出并应对与负责的AI有关危机弹性管理的重要挑战和考虑因素。我们涵盖了与负责任的收集，分析，共享和使用相关的各种交织挑战和考虑因素，例如公平，公平，偏见，解释性，透明度，问责制，隐私和安全，组织间协调和公众参与。通过检查有关危机弹性管理的AI系统的问题，我们剖析了危机中信息管理和决策的固有复杂性，并强调了负责的AI研究和实践的紧迫性。本文中提出的想法是为研究人员，从业人员，开发人员，紧急管理人员，人道主义组织和公职人员建立路线图的首次尝试，以解决与危机弹性管理有关的负责AI的重要考虑因素。
Novel data sensing and AI technologies are finding practical use in the analysis of crisis resilience, revealing the need to consider how responsible artificial intelligence (AI) practices can mitigate harmful outcomes and protect vulnerable populations. In this paper, we present a responsible AI roadmap that is embedded in the Crisis Information Management Circle. This roadmap includes six propositions to highlight and address important challenges and considerations specifically related to responsible AI for crisis resilience management. We cover a wide spectrum of interwoven challenges and considerations pertaining to the responsible collection, analysis, sharing, and use of information such as equity, fairness, biases, explainability and transparency, accountability, privacy and security, inter-organizational coordination, and public engagement. Through examining issues around AI systems for crisis resilience management, we dissect the inherent complexities of information management and decision-making in crises and highlight the urgency of responsible AI research and practice. The ideas laid out in this paper are the first attempt in establishing a roadmap for researchers, practitioners, developers, emergency managers, humanitarian organizations, and public officials to address important considerations for responsible AI pertaining to crisis resilience management.
