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NRT-FW-HTF: Socially Cognizant Robotics for a Technology Enhanced Society (SOCRATES)

NRT-FW-HTF：技术增强型社会的社会认知机器人（苏格拉底）

基本信息

批准号：
2021628
负责人：
Kristin Dana
金额：
$ 300万
依托单位：
Rutgers University New Brunswick
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021628&HistoricalAwards=false
关键词：
NRT FW HTF Socially Cognizant

项目摘要

The popular vision of ubiquitous robot assistants that improve the quality of life remains mostly a vision. A key challenge of the program is Robotics for Everyday Augmented Living (REAL), semi-automated systems that focus on tasks and work within daily life. To make this vision a reality, important considerations include safety, adaptability to human desires, and nuanced societal impacts, such as dignity, consent, privacy, and fairness. Traditional social sciences often study the effects of technology on individuals and society only after it is deployed. Given the potential impact of robotics as well as the potential for unintended negative social consequences, technology should adapt to humans rather than the other way around. Current robotics training does not equip researchers with the interdisciplinary tools necessary to address this challenge. This National Science Foundation Research Traineeship (NRT) award to Rutgers University will train a new type of professional, the socially cognizant roboticist, with the skills—in technology, social science, and public policy—needed to bridge this gap. This training program aims to instill an awareness of human involvement into every phase of the design of new technology, so that these technologies can provide positive human value wherever they are introduced. The training program anticipates training over 35 graduate students (MS and PhD), including 17 NRT-funded trainees, by integrating technology domains (robotics, machine learning and computer vision) with social and behavioral sciences (psychology, cognitive science, and urban policy planning).The program will integrate the training of technologists, who are able to develop robots that can coordinate with people, and social scientists, who can translate studies regarding the social effects of robotics into actionable lessons. Robotics is defined broadly here to include intelligent systems encompassing smart buildings and embedded infrastructure. Program participants will be trained in 1) technology: building and controlling robots, collecting, and learning from large datasets; 2) cognitive science: designing socially cognizant systems; 3) policy: assessing unintended consequences and planning for positive societal impact. The program lays the groundwork for this training via a new curriculum for a robotics specialization that combines existing technology and social science courses, as well as new interdisciplinary courses. The program will emphasize experiential learning, through the Rutgers Robotics Live Lab and interdisciplinary research projects from the partnering graduate programs, as well as internship opportunities through an Industry Consortium. Trainees will engage in fundamental research to understand and model the social dimensions of robot deployments and advance the long-term goal of dignified living and working in a technologically enhanced society. An important program objective is the recruitment and retention of diverse trainees through a multi-faceted strategy, including a student-led robotics club that focuses on a novice-to-expert strategy, an annual robotics workshop, and a Faculty Talk-it-up Robotics Series for underrepresented populations. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

无处不在的机器人助手改善生活质量的流行愿景在很大程度上仍然是一个愿景。该计划的一个关键挑战是面向日常增强生活(REAL)的机器人，这是一种专注于日常生活中的任务和工作的半自动系统。要使这一愿景成为现实，重要的考虑因素包括安全性、对人类欲望的适应性以及细微差别的社会影响，如尊严、同意、隐私和公平。传统社会科学往往只是在技术部署后才研究技术对个人和社会的影响。考虑到机器人技术的潜在影响以及可能产生意想不到的负面社会后果，技术应该适应人类，而不是反过来。目前的机器人培训没有为研究人员提供应对这一挑战所需的跨学科工具。这项授予罗格斯大学的国家科学基金会研究培训(NRT)奖将培养一种新型的专业人才，即具有社会认知能力的机器人专家，拥有弥合这一差距所需的技术、社会科学和公共政策方面的技能。该培训计划旨在将人的参与意识灌输到新技术设计的每个阶段，以便这些技术无论在哪里引入都能提供积极的人类价值。该培训计划通过将技术领域(机器人、机器学习和计算机视觉)与社会和行为科学(心理学、认知科学和城市政策规划)相结合，预计培训超过35名研究生(硕士和博士)，其中包括17名NRT资助的学员。该计划将整合对能够开发与人类协调的机器人的技术专家和社会科学家的培训，社会科学家可以将关于机器人社会影响的研究转化为可操作的课程。机器人在这里被广泛地定义为包括智能建筑和嵌入式基础设施的智能系统。计划参与者将接受以下方面的培训：1)技术：建造和控制机器人，收集和学习大数据集；2)认知科学：设计社会认知系统；3)政策：评估意外后果和规划积极的社会影响。该计划通过机器人专业的新课程，结合现有的技术和社会科学课程，以及新的跨学科课程，为这次培训奠定了基础。该计划将通过罗格斯机器人现场实验室和合作研究生项目的跨学科研究项目强调体验式学习，以及通过行业联盟提供实习机会。受训人员将从事基础性研究，以了解和模拟机器人部署的社会层面，并推进在技术进步的社会中有尊严地生活和工作的长期目标。一个重要的计划目标是通过多方面的战略招募和留住不同的受训人员，包括以学生为主导的机器人俱乐部，专注于新手到专家的战略，一年一度的机器人研讨会，以及面向代表不足的人群的学院机器人系列。NSF研究培训(NRT)计划旨在鼓励开发和实施大胆的、具有潜在变革意义的STEM研究生教育培训模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求保持一致的综合实习生模式，在高度优先的跨学科或趋同研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。