Travel: FLAIRS Conference Experience for Workforce Development in Artificial Intelligence
旅行:人工智能劳动力发展的 FLAIRS 会议体验
基本信息
- 批准号:2338108
- 负责人:
- 金额:$ 3.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-10-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Artificial Intelligence (A.I.) permeates many aspects of our lives. With this growth - accelerated in the last year through the popularity of platforms such as ChatGPT - industry and academia have put a premium on recruiting students and employees that can design, implement, test, and use A.I. models and approaches. Unfortunately, tied somewhat to the need for more students in the general field of computer science, there is a lack of skilled workers in the field of A.I. In addition, the lack of diversity in the computational fields, especially when it comes to women and minorities, has led to a lack of diversity in the thought and design of A.I. systems, introducing bias into models and systems. However, providing exposure to A.I. can be problematic, especially for students from economically disadvantaged or rural communities and institutions. In short, there is a need for concerted efforts to recruit a diverse set of students and workers to the growing field of artificial intelligence. This project will support the participation of a diverse set of students to attend the second oldest artificial intelligence conference in the United States, the Florida Artificial Intelligence Research Society (FLAIRS) conference, in May 2024.The objective of this proposal is to serve the NSF’s interest in advancing science through increasing interest and workforce development in artificial intelligence. The plan is to host 15 who represent a diverse demographic, especially among women, minorities, and persons with disabilities, from multiple universities, including those that consist primarily of economically disadvantaged students. The students can participate in a range of tutorials and engage with researchers and others in the field. A clear plan focuses on universities and colleges in the southeast region of the US. Clear evaluation is provided.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)渗透到我们生活的方方面面。随着这种增长-去年通过ChatGPT等平台的普及而加速-工业界和学术界都非常重视招聘能够设计,实施,测试和使用AI的学生和员工。模式和方法。不幸的是,在某种程度上与计算机科学一般领域对更多学生的需求有关,人工智能领域缺乏熟练工人。此外,计算领域缺乏多样性,特别是在女性和少数民族方面,导致人工智能的思想和设计缺乏多样性。系统,将偏见引入模型和系统。然而,提供暴露于人工智能。这可能是一个问题,特别是对来自经济困难或农村社区和机构的学生。简而言之,需要共同努力,为不断发展的人工智能领域招募各种各样的学生和工作者。该项目将支持各种学生参加2024年5月举行的美国第二大人工智能会议,即佛罗里达人工智能研究学会(FLAIRS)会议。该提案的目的是通过提高人工智能的兴趣和劳动力发展来服务于NSF对推进科学的兴趣。该计划将接待来自多所大学的15名代表不同人口群体,特别是妇女、少数民族和残疾人,包括主要由经济困难学生组成的大学。 学生可以参加一系列的教程,并与研究人员和该领域的其他人接触。 一个明确的计划侧重于美国东南部地区的大学和学院。 该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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William Eberle其他文献
An in-depth review and analysis of mode collapse in generative adversarial networks
- DOI:
10.1007/s10994-025-06772-7 - 发表时间:
2025-04-24 - 期刊:
- 影响因子:2.900
- 作者:
Farhat Lamia Barsha;William Eberle - 通讯作者:
William Eberle
William Eberle的其他文献
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{{ truncateString('William Eberle', 18)}}的其他基金
III: Small: Collaborative Research: Anomaly Detection in Graph Streams
III:小:协作研究:图流中的异常检测
- 批准号:
1318957 - 财政年份:2013
- 资助金额:
$ 3.58万 - 项目类别:
Standard Grant