HDR DSC: AI across the statewide curriculum

HDR DSC：全州课程中的人工智能

• 批准号: 2123440
• 负责人: Jennifer Drew
• 金额: $ 149.83万
• 依托单位: University of Florida
• 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: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2123440&HistoricalAwards=false
• 关键词: HDR; DSC; AI; across; statewide

Artificial Intelligence (AI) is reshaping the society we live in a profound manner. AI is changing how a nation protects its homeland and population, manages its natural resources and infrastructure, diagnoses and treats diseases, travel, communicates and creates artistic works, etc. AI has the potential to generate tremendous benefits for the society and people. However, the future AI workforce must represent the diversity of racial, ethnic, gender-identity and socioeconomic backgrounds reflective of the nation as a whole, otherwise, an AI-enabled future society could exacerbate existing disparities and benefit just a few, at the expense of too many. To address such a grand challenge, this DSC award is to train a diverse workforce capable of integrating AI equitably across a broad range of disciplines. The project provides unique AI training to students from any discipline using an approach that integrates classroom education in AI fundamentals, applications and ethics with real-world case studies and research experiences spanning the undergraduate curriculum with a focus on enhancing diversity. By recruiting and retaining historically underrepresented minorities in AI-related education and research, this project helps ensure that a diversity of backgrounds and opinions are included at all levels of future AI developments and applications, so the AI-enabled society can broadly benefit everyone.To achieve the goal of educating a diverse next-generation AI workforce, this project develops a vertically-integrated curriculum in which students from outside traditional computer-science fields can learn AI-related concepts, skills and AI applications to address critical emerging problems in one’s field. Over 250 undergraduate fellowships will be created to help eliminate or lessen financial barriers to education. Further, between a research university and a historically black college, a strategic partnership provides flexible avenues to engage diverse undergraduates in AI-related education and research. This project develops a core curriculum covering AI fundamentals, ethics and discipline-specific applications that can be deployed across traditional university disciplines and leverages distance-learning to enable students to participate on their own schedule from anywhere with internet. The award also provides unprecedented access to some of the most advanced computational resources in the world while maintaining the flexibility to adapt to a rapidly-changing field by providing financial assistance supporting the development of new courses and undergraduate research in academic, industry and community studies. It is expected that this approach of integrating "AI across the curriculum" will equip all interested students to equitably engage AI in their chosen discipline.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.

人工智能（AI）正在深刻地重塑我们生活的社会。人工智能正在改变一个国家保护家园和人口、管理自然资源和基础设施、诊断和治疗疾病、旅行、交流和创作艺术作品等的方式。人工智能有潜力为社会和人民带来巨大的利益，然而，未来的人工智能劳动力必须代表整个国家的种族、民族、性别认同和社会经济背景的多样性，否则，人工智能驱动的未来就无法实现。社会可能会恶化现有的为了应对如此巨大的挑战，DSC 奖项旨在培养能够在广泛的学科中公平地整合人工智能的多元化劳动力，该项目为学生提供独特的人工智能培训。来自任何学科，采用将人工智能基础知识、应用和伦理方面的课堂教育与跨越本科课程的现实案例研究和研究经验相结合的方法，重点是通过招募和保留历史上在人工智能相关教育中代表性不足的少数群体。研究，该项目有助于确保未来人工智能发展和应用的各个层面都包含了多元化的背景和观点，因此人工智能社会可以广泛惠及每个人。为了实现教育多元化的下一代人工智能劳动力的目标，该项目开发了一个垂直的传统计算机科学以外的学生可以学习人工智能相关的概念、技能和人工智能应用，以解决自己领域中出现的关键问题。将设立超过 250 个本科生奖学金，以帮助消除或减少教育方面的经济障碍。一项研究该项目开发了涵盖人工智能基础知识、伦理和特定学科应用的核心课程，这些课程可以跨传统大学学科和学科进行部署。该奖项利用远程学习，使学生能够在任何地方通过互联网按自己的时间表参与，该奖项还提供前所未有的访问世界上一些最先进的计算资源的机会，同时通过提供财务来保持适应快速变化的领域的灵活性。协助支持新课程和本科生研究的开发预计这种“将人工智能融入课程”的方法将使所有感兴趣的学生能够在其所选学科中公平地参与人工智能。该奖项反映了 NSF 的法定使命，并被认为值得通过以下方式获得支持：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。