Collaborative Research: FW-HTF-P: Assistive Artificial Intelligence for Diversifying and Reskilling the Disaster Management Workforce of the Future

合作研究：FW-HTF-P：用于未来灾害管理劳动力多样化和再培训的辅助人工智能

• 批准号: 2222092
• 负责人: Sharon Lynn Chu
• 金额: $ 5万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2222092&HistoricalAwards=false
• 关键词: Collaborative; Research; FW; HTF; Assistive

Disaster impacts, which have become more frequent and severe due to climate change, disproportionately hurt vulnerable populations, including women, communities of color, people with disabilities, income-challenged communities, and more generally those who are not able to advocate for themselves. People from these populations are also poorly represented in the disaster-management profession. This fact raises risks that disaster-management practices do not align with the needs of the broader community, and that biases in hiring and resource allocation will reinforce these vulnerabilities. The goal of this project is to increase disaster-management job opportunities for people from these vulnerable groups. Through connecting residents, community leaders, and state and local authorities, this project will result in new knowledge about how human-centered artificial intelligence (AI) can transform the disaster-management profession by contributing to the diversification and reskilling of the workforce, ultimately augmenting human capabilities, and leading to culturally sensitive teams and equitable disaster-management practices.The technical aims of the project center around a series of interconnected planning activities that foster a convergent research roadmap, develop fundamental research concepts, and stimulate research capacity that address technological, human, societal, and economic dimensions of the field of disaster management. The project team will study, formalize, and demonstrate the potential of AI to promote diversity and inclusion in disaster-management workforce and practices. Through active participation of stakeholders who will form an advisory board, the project team will engage residents and leaders from disaster-prone communities, state and local disaster-management agencies, and domain experts and researchers to develop a comprehensive roadmap that will guide the design, testing, and dissemination of assistive AI technologies for the disaster-management profession. Planning activities will include a workshop on diversity and inclusion in disaster management, a stakeholder meeting and demonstrations, and research working groups and collaboration meetings. Together, these activities will help meet three research objectives: (1) Facilitate multidisciplinary research and stakeholder partnerships that employ the joint perspectives, methods, and knowledge of disaster management, learning sciences, computer science, engineering, workforce training, and the social sciences; (2) Impart deeper understanding of human-AI partnership in disaster management that can augment (not replace) human workers, including consideration of workforce diversity and how to impart skills needed to interact with AI; and (3) Understand, anticipate, and explore ways of mitigating potential technological and societal risks resulting from AI integration into disaster-management workforce training and reskilling.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

由于气候变化而变得更加频繁和严重的灾难影响不成比例地伤害弱势群体，包括妇女，有色人种，残疾人，受收入挑战的社区以及更普遍地倡导自己的人。这些人群中的人们在灾难管理专业中的代表也很差。这一事实提出了灾难管理实践与更广泛社区的需求保持一致的风险，并且雇用和资源分配的偏见会加剧这些脆弱性。该项目的目的是增加这些弱势群体的人们的灾难管理工作机会。通过联系居民，社区领导人，州和地方当局，该项目将为以人为以人的人工智能（AI）的形式提供新的知识，可以通过为劳动力的多元化和重新促进劳动力而改变灾难管理职业，并最终增强人类的推销，并增强人类的推动力，从而使文化敏感的团队和公平的竞争逐步融合了一定的AI企业。融合研究路线图，发展基本研究概念并刺激灾难管理领域技术，人类，社会和经济方面的研究能力。项目团队将研究，正式化并证明AI的潜力促进多样性和纳入灾难管理劳动力和实践。通过将成立顾问委员会的利益相关者积极参与，该项目团队将吸引来自易灾难的社区，州和地方灾难管理机构以及领域专家和研究人员的居民和领导者，以开发全面的路线图，以指导设计，测试和传播灾难管理职业的辅助AI技术。计划活动将包括有关灾难管理多样性和包容性的研讨会，利益相关者会议和示范以及研究工作组和协作会议。这些活动将共同实现三个研究目标：（1）促进多学科研究和利益相关者的合作伙伴关系，这些研究采用了灾难管理，学习科学，计算机科学，工程，劳动力培训和社会科学的共同观点，方法和知识； （2）对灾难管理中的人类伙伴关系的更深入了解可以增加（而不是取代）人工工人，包括考虑员工多样性以及如何赋予与AI互动所需的技能； （3）理解，预期和探索减轻AI融入灾难管理劳动力培训和重新策划的潜在技术和社会风险的方法。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来通过评估来获得支持的。