DASS: A Multi-level Collaborative Design Framework for Cross-sovereignty Software Accountability

DASS：跨主权软件责任的多层次协作设计框架

• 批准号: 2317086
• 负责人: Yu-Che Chen
• 金额: $ 74.92万
• 依托单位: University of Nebraska at Omaha
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317086&HistoricalAwards=false
• 关键词: DASS; Multi; level; Collaborative; Design

This project addresses the salient challenge of ensuring software accountability for collaboration on emergency management across tribal nations and the United States government. Indigenous communities are among the most vulnerable populations during natural disasters. Establishing effective collaboration between U.S. governments at all levels and tribal nations is pivotal for managing emergencies on tribal lands, with software systems playing a vital role in enabling this cooperation. This project aims to tackle the distinct software accountability challenges arising from the unique governance structures, cultures, and technological conditions of tribal nations, as well as their intricate relations with other sovereign entities. This project develops and implements a multi-level participatory design framework and an AI (artificial intelligence) chatbot for emergency management. This initiative enhances emergency management in tribal nations, improves cross-sovereignty software accountability, and elevates AI system literacy among indigenous communities.This project has two primary aims: (a) the development, implementation, and validation of a multi-level collaborative design framework for ensuring software system accountability across sovereign entities and (b) the development and implementation of an integrative operational AI-enabled chatbot for emergency management in indigenous communities. The project creates a novel multi-level software design framework, engaging stakeholders from tribal nations and the U.S. government in a participatory process. This framework guides the development, implementation, evaluation, and refinement of the AI chatbot in working closely with two mid-western tribal nations and receiving input from indigenous communities across the country. This project contributes to the advancement in the knowledge and practice in three areas: (a) multi-level participatory design and implementation with indigenous people and government stakeholders, specifically for accountable software systems, (b) the performance of tribal emergency management through the collaborative utilization of AI techniques, and (c) validation of the design framework and software implementation's general applicability and local adaptability with indigenous communities.This project is jointly funded by Designing Accountable Software Systems program and the Established Program to Stimulate Competitive Research (EPSCoR).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.

该项目应对确保软件问责制在部落国家和美国政府的紧急管理协作方面的重要挑战。土著社区是自然灾害中最脆弱的人群之一。建立各级美国政府与部落国家之间的有效合作对于管理部落土地的紧急情况至关重要，软件系统在实现这一合作方面起着至关重要的作用。该项目旨在应对由部落国家的独特治理结构，文化和技术条件引起的独特软件问责制挑战，以及与其他主权实体的复杂关系。该项目开发并实施了多层参与式设计框架和AI（人工智能）聊天机器人，用于应急管理。这项举措增强了部落国家的紧急管理，改善了跨主管软件的责任制，并提高了本地社区中的AI系统识字率。该项目具有两个主要目的：（a）开发，实施和验证多层协作框架，以确保跨贵族和实施范围内实施的多层次协作框架土著社区。该项目创建了一个新型的多层次软件设计框架，使来自部落国家和美国政府的利益相关者参与了参与过程。该框架指导AI Chatbot与两个中西部部落国家紧密合作的发展，实施，评估和改进，并收到全国土著社区的意见。该项目有助于三个领域的知识和实践的进步：（a）与土著人民和政府利益相关者，特别是负责任的软件系统的多层次参与设计和实施，（b）部落紧急管理通过AI技术的协作利用来绩效，以及（c）与设计框架和软件的依赖性依赖性的合作范围。设计负责任的软件系统计划和启发竞争研究的既定计划（EPSCOR）。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。