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AI Institute for Societal Decision Making (AI-SDM)

人工智能社会决策研究所 (AI-SDM)

基本信息

批准号：
2229881
负责人：
Aarti Singh
金额：
$ 1987.97万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Cooperative Agreement
财政年份：
2023
资助国家：
美国
起止时间：
2023-06-01 至 2028-05-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229881&HistoricalAwards=false
关键词：
AI Institute Societal Decision Making

项目摘要

Decision making in domains such as a public health crisis or disaster response has a significant societal and economic impact. These domains present critical challenges for decision-making as they require complex, potentially life-saving, decisions to be made under dynamic, uncertain and resource-constrained scenarios, while accounting for factors that are key to acceptance of the decisions, such as stakeholders' biases and perception of risk, trust, and equity. AI advancements and data availability can complement human limitations in navigating this complex decision space, however, current systems fail to account for the stakeholders' mental states and behavior. The AI institute for Societal Decision Making (AI-SDM) will target this opportunity at the confluence of social decision sciences and AI by developing human-centric AI for decision-making and inter-disciplinary training, to enable transformative solutions to societal decision challenges. By bringing AI and social science researchers, AI-SDM will enable emergency managers, public health officials, first responders, community workers, and the public to make quick, data-driven, and resource-efficient decisions, while also improving outcomes by accounting for human factors governing acceptance. The vision of AI-SDM will be realized via development of novel AI theory and methods, translational research, training, and outreach, enabled by partnerships among diverse universities, government organizations, corporate partners, community colleges, public libraries, and high schools.The institute will establish the role of AI in advancing and bridging human and autonomous decision-making, under the use-inspired challenges of working in environments that are dynamic, uncertain, resource constrained, and require societal acceptance arising in public health crisis and disaster response. Specifically, the foundational research will develop (1) computational representations of human decision processes, (2) robust aggregation methods for collective decision-making, (3) multi-objective autonomous decision support tools, and corresponding innovations in (4) causal and counterfactual reasoning. These foundational foci are inspired by, and will be applied to, equitable resource allocation to improve public health and disaster outcomes, timely targeted interventions informed by human decision-making to encourage adherence to policy recommendations, and adoption of AI decision support by understanding how adoption can be modulated by different use patterns. The research will be guided by theoretical advances in computational cognitive science, social-choice theory, distribution-free statistics, game theory, casual and counterfactual reasoning, and interactive and autonomous machine learning. In addition to impacting use-case domains via a wide network of partners, AI-SDM will develop the next generation of workforce trained on human-centric AI and an AI-aware public via broader impact efforts including professional development workshops for high school educators, enrichment and leadership activities for under-represented students, inter-disciplinary degrees and courses, curriculum co-design with community college and educational partners, workforce training, and public engagement activities.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.

公共卫生危机或灾难应对等领域的决策具有重大的社会和经济影响。这些领域给决策带来了严峻的挑战，因为它们需要在动态、不确定和资源受限的情况下做出复杂的、可能挽救生命的决策，同时考虑到接受决策的关键因素，例如利益相关者的偏见以及对风险、信任和公平的看法。人工智能的进步和数据可用性可以弥补人类在这个复杂决策空间中的局限性，但是，当前的系统无法考虑利益相关者的心理状态和行为。人工智能社会决策研究所 (AI-SDM) 将抓住这一社会决策科学与人工智能融合的机会，开发以人为本的人工智能进行决策和跨学科培训，为社会决策挑战提供变革性解决方案。通过引入人工智能和社会科学研究人员，AI-SDM 将使应急管理人员、公共卫生官员、急救人员、社区工作人员和公众能够做出快速、数据驱动和资源高效的决策，同时还通过考虑控制接受度的人为因素来改善结果。 AI-SDM 的愿景将通过开发新颖的人工智能理论和方法、转化研究、培训和推广来实现，并通过不同大学、政府组织、企业合作伙伴、社区学院、公共图书馆和高中之间的合作来实现。该研究所将在动态、不确定、资源丰富的环境中工作的使用激发的挑战下，确立人工智能在推进和连接人类和自主决策方面的作用。受到限制，并需要在公共卫生危机和灾难应对中得到社会认可。具体来说，基础研究将开发（1）人类决策过程的计算表示，（2）集体决策的稳健聚合方法，（3）多目标自主决策支持工具，以及（4）因果和反事实推理方面的相应创新。这些基本重点受到以下方面的启发，并将应用于：公平的资源分配，以改善公共卫生和灾害结果；根据人类决策及时采取有针对性的干预措施，以鼓励遵守政策建议；以及通过了解如何通过不同的使用模式来调节采用情况来采用人工智能决策支持。该研究将以计算认知科学、社会选择理论、无分布统计、博弈论、休闲和反事实推理以及交互式和自主机器学习的理论进展为指导。除了通过广泛的合作伙伴网络影响用例领域外，AI-SDM还将通过更广泛的影响力工作，包括针对高中教育工作者的专业发展研讨会、针对代表性不足的学生的丰富和领导力活动、跨学科学位和课程、与社区大学和教育合作伙伴共同设计课程、劳动力培训和公众教育，培养接受以人为中心的人工智能培训的下一代劳动力和具有人工智能意识的公众。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。