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.

诸如公共卫生危机或灾难反应等领域的决策具有重大的社会和经济影响。这些领域对决策提出了关键的挑战，因为它们需要在动态，不确定和资源约束的情况下做出复杂的，潜在的挽救生命的决策，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。 AI的进步和数据可用性可以补充人类在这一复杂的决策空间中的限制，但是，当前系统无法解释利益相关者的精神状态和行为。 AI社会决策研究所（AI-SDM）将通过开发以人为中心的AI来实现社会决策科学和AI的融合来针对这一机会，以进行决策和跨学科培训，以实现对社会决策挑战的变革性解决方案。通过邀请AI和社会科学研究人员，AI-SDM将使紧急经理，公共卫生官员，急救人员，社区工作者和公众能够做出快速，数据驱动和资源有效的决策，同时还通过考虑接受接受性的人为因素来改善结果。 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受到限制，需要在公共卫生危机和灾难反应中引起的社会接受。具体而言，基础研究将开发（1）人类决策过程的计算表示，（2）用于集体决策的强大聚合方法，（3）多目标自主决策支持工具以及（4）因果关系和反事实推理中的相应创新。这些基础焦点受到公平资源分配的启发，以改善公共健康和灾难成果，及时针对人类决策所告知的针对性干预措施，以鼓励遵守政策建议，并通过理解如何通过不同使用模式来理解采用方式来采用AI决策支持。这项研究将由计算认知科学，社会选择理论，无分配统计，游戏理论，随意和反事实推理以及互动和自主的机器学习的理论进步指导。 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参与活动。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估值得支持。