CAREER: SocioCulturally Competent Agents to Study and Improve Human-AI interaction

职业：具有社会文化能力的代理人，研究和改善人机交互

基本信息

批准号：
2144887
负责人：
Christopher Dancy
金额：
$ 58.13万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-05-01 至 2027-04-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2144887&HistoricalAwards=false
关键词：
CAREER SocioCulturally Competent Agents Study

项目摘要

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Artificial Intelligence (AI) systems have become ubiquitous in society; people constantly interact and cooperate with AI systems to accomplish tasks. Whether it is interacting with an AI agent in an online virtual environment or deciding where to eat next with the help of a virtual assistant, AI systems are increasingly integrated into our everyday lives. With such wide-spread deployment, understanding how a person’s context affects their interaction with AI systems is vital to designing and developing competent and ethical AI systems. AI systems should be able to interact as appropriately with someone who is stressed or has been marginalized by societal structures as well as it does with someone free of stress or has not been subject to socio-cultural structures that systematically marginalize them. This research will advance the understanding of how one can create AI systems that can adapt to differences in people (and the social structures that might mediate these differences), while also advancing the understanding of how a person’s context affects the way they perceive and cooperate with an AI system. The research in this project is complemented with multiple educational thrusts, including a plan to develop a pre-orientation program that targets incoming first year undergraduates from traditionally marginalized groups. The program will help undergraduate students be critically reflective how their own context affects the way they might design, develop, and implement AI systems. The goal of this work is to develop a process-based multilevel computational theory that describes how human socio-cultural knowledge can positively affect the design, development, and interaction with AI agents. The project aims to understand how one can develop competent AI agents that can account for differing socio-cultural perspectives and their effects. Products of this work include an extended computational cognitive architecture and new cognitive AI agents that will be useful for the development of other AI systems. These products will also be useful for general computational models that simulate human behavior. The project will result in a computational model of interactions between physiological, affective, and cognitive systems that modulate human behavior, as well as an account for socio-cultural knowledge that affords certain uses of these systems and processes during human-AI interaction. The computational model will connect areas related to human behavior and AI on several time scales to make the modeling, simulation, and study of human-AI interaction more tractable. In concert with the computational models and tools, the investigator will conduct studies that provide a deeper understanding of how socio-cultural perspectives and knowledge affects and is used by people while cooperating with AI agents during tasks. Results from these studies will inform the computational model. The work will result in a deeper qualitative and quantitative and under-standing of the processes and knowledge that mediate human-AI interaction, the development of more competent AI agents, and open-source computational tools to continue to expand upon this understanding.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.

该奖项是根据2021年《美国救援计划法》（公共法117-2）的全部或部分资助的。人工智能（AI）系统在社会上已无处不在；人们不断与AI系统进行互动并协调以完成任务。无论是在在线虚拟环境中与AI代理进行互动，还是在虚拟助手的帮助下决定接下来在哪里吃饭，AI系统越来越多地整合到我们的每一天。通过如此广泛的部署，了解一个人的环境如何影响他们与AI系统的互动对于设计和发展有能力和道德的AI系统至关重要。人工智能系统应该能够与受压力或因社会结构而边缘化的人以及与无压力的人所施加的边缘化或没有受到系统地将其边缘化的社会文化结构进行适当互动。研究将促进人们对如何创建可以适应人（可能介导这些差异的社会结构）的AI系统的理解，同时也促进了对一个人环境如何影响他们与AI系统的方式的理解。该项目的研究以多种教育推力完成，包括制定一个预先定向计划的计划，该计划针对传统边缘化群体的第一年本科生的新学院。该计划将帮助本科生对自己的环境如何设计，开发和实施AI系统的方式进行批判性思考。这项工作的目的是开发一种基于过程的多级计算理论，该理论描述了人类社会文化知识如何积极影响与AI代理的设计，开发和互动。该项目旨在了解如何发展有能力的AI代理商，以解释差异化的社会文化观点及其影响。这项工作的产品包括扩展的计算认知体系结构和新的认知AI代理，可用于开发其他AI系统。这些产品也将对模拟人类行为的一般计算模型有用。该项目将导致一种调节人类行为的物理，情感和认知系统之间相互作用的计算模型，以及对社会文化知识的解释，该知识在人类互动过程中提供了这些系统和过程的某些用途。计算模型将在几个时间尺度上连接与人类行为和AI相关的领域，以使对人类相互作用的建模，模拟和研究更加易于处理。与计算模型和工具一致，研究人员将进行研究，以更深入地了解社会文化的观点和知识如何影响，并在任务期间与AI代理合作时被人们使用。这些研究的结果将为计算模型提供信息。这项工作将导致对介导人类互动的过程和知识的更深入和定量，并理解介导人类互动的过程和知识，发展更有能力的AI代理以及开源计算工具，以继续扩展这一理解。该奖项反映了NSF的法定任务，并认为通过基金会的知识优点和广泛的crietia crietia crietia criperia criperia criperia criperia criperia criperia the Crigitia criperia cripitia criperia均值得一提。