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.

该项目解决了确保部落国家和美国政府之间应急管理协作的软件责任的突出挑战。土著社区是自然灾害期间最脆弱的群体之一。美国各级政府与部落国家之间建立有效的合作对于管理部落土地上的紧急情况至关重要，而软件系统在实现这种合作方面发挥着至关重要的作用。该项目旨在解决因部落国家独特的治理结构、文化和技术条件及其与其他主权实体的复杂关系而产生的独特软件问责挑战。该项目开发并实施了一个多层次的参与式设计框架和一个用于应急管理的AI（人工智能）聊天机器人。该举措加强了部落国家的应急管理，改善了跨主权软件问责制，并提高了土著社区的人工智能系统素养。该项目有两个主要目标：(a) 开发、实施和验证多级协作设计框架确保主权实体之间的软件系统问责制；(b) 开发和实施一个综合运营的人工智能聊天机器人，用于土著社区的应急管理。该项目创建了一个新颖的多层次软件设计框架，让部落国家和美国政府的利益相关者参与到参与过程中。该框架指导人工智能聊天机器人的开发、实施、评估和完善，与两个中西部部落国家密切合作，并接收全国各地土著社区的意见。该项目有助于提高三个领域的知识和实践：(a) 与土著人民和政府利益相关者一起进行多层次参与式设计和实施，特别是负责任的软件系统，(b) 通过协作来执行部落应急管理人工智能技术的利用，以及（c）验证设计框架和软件实施的普遍适用性和当地社区的适应性。该项目由设计负责任的软件系统计划和刺激竞争性研究的既定计划共同资助(EPSCoR)。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。