CCRI: Research Infrastructure: Planning-M: Multi-Modal Infrastructure for Enabling Social AI Research

CCRI：研究基础设施：Planning-M：支持社会人工智能研究的多模式基础设施

• 批准号: 2213683
• 负责人: Diyi Yang
• 金额: $ 15万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213683&HistoricalAwards=false
• 关键词: CCRI; Research; Infrastructure; Planning; Multi

Artificial intelligence (AI) for understanding social communication can play a key role in important application domains such as household robotics. However, current advancements in natural language processing and computer vision mainly focus on analyzing the surface structure of text and videos, lacking the ability to understand social communication deeply. To build large-scale AI systems that can better understand social interaction, this planning project aims at how to develop a process for collecting and annotating multi-modal and cross-cultural datasets of social communication in a responsible and sustainable way. The planning activities also include organizing workshops and panels around multi-modal social data collection to characterize the needs of this emerging social AI community. These planning activities will provide the foundation towards building the next generation of social AI models and ensuring that collection and use of the data complies with ethical and legal considerations. The resulting data infrastructure will facilitate future research on theory of mind, teamwork, and group decision-making. This planning project will demonstrate the potential of interdisciplinary research between natural language processing, computer vision, social science, law, and ethics. This project will be hosted via this website: socialai-data.org, where data, code, and data use protocols will be actively updated and maintained during the project period.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.

理解社会交流的人工智能（AI）可以在重要的应用领域（例如家用机器人技术）中发挥关键作用。但是，自然语言处理和计算机视觉的当前进步主要集中在分析文本和视频的表面结构上，缺乏深入了解社交交流的能力。 为了构建可以更好地了解社会互动的大规模AI系统，该计划项目旨在如何以负责任和可持续的方式开发一个过程，以收集和注释社会交流的多模式和跨文化数据集。计划活动还包括组织研讨会和围绕多模式社交数据收集的小组，以表征这个新兴社会AI社区的需求。 这些计划活动将为建立下一代社会AI模型的基础，并确保数据收集和使用符合道德和法律考虑。由此产生的数据基础架构将促进对心理理论，团队合作和小组决策的未来研究。 该计划项目将展示自然语言处理，计算机视觉，社会科学，法律和道德之间的跨学科研究的潜力。 该项目将通过此网站托管：Socialai-data.org，在该项目期间，数据，代码和数据使用协议将在项目期间进行积极更新和维护。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来获得支持的。