AI Institute: Planning: AI Institute for Rural Health, Wellness, and Resilience

AI 研究所:规划:AI 农村健康、福祉和复原力研究所

基本信息

  • 批准号:
    2020194
  • 负责人:
  • 金额:
    $ 49.97万
  • 依托单位:
  • 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 2024-08-31
  • 项目状态:
    已结题

项目摘要

Artificial Intelligence (AI) promises to improve our lives in many ways, but most AI innovation is centered in coastal cities, far from the challenges of rural America. This makes it difficult for AI technology hubs to study and design for the distinct challenges and opportunities of rural America, where over 20% of the U.S. population lives. For example, people in rural counties are more likely to overdose on opioids, to be obese, or to smoke. The number of infants who die before reaching 1 year of age is nearly 50% greater in rural areas than in cities. Moreover, rural Americans face significant challenges with access to the technology upon which AI depends, including internet, computers, and smartphones. Unfortunately, there is a real danger that AI will not just leave rural America behind but do significant harm: automation may replace 25% of jobs in rural counties within the next decade, and many rural areas do not have easy access to educational and vocational institutions to re-train for new jobs. This project will plan an AI Institute hosted in the Midwest and committed to creating Artificial Intelligence technologies that significantly improve rural health, wellness, and resiliency. Solving major technical and societal challenges and creating sustainable, ethical, socially accepted, and successful applications of AI will require an interdisciplinary approach that tightly integrates studies across many fields. This project will bring together experts around five major technical pillars (Trustworthy AI, Interpretable AI, Human-Centered AI, Ubiquitous AI, Ethical AI) and three major domains (Rural Health, Rural Wellness, Rural Resiliency) in a series of workshops to build collaborations across the Midwest that will lay the foundation for an Institute proposal after two years. The workshops will also engage rural community members to understand their needs and challenges.This project will begin to address the urgent need to study AI for improving health, wellness and resiliency in rural communities, to address the unique technical challenges of these applications, and to work to ensure that rural Americans share in the benefits—and are not casualties—of the changes that AI is about to usher in. The project will investigate new AI techniques that will improve the accuracy, security, interpretability, and reliability of AI, which will benefit countless applications beyond health. The project will also create education modules for community partners who wish to engage in university research, form partnerships that educate and inspire the greater community on challenges and opportunities of AI to address pressing problems facing rural America, and developing new AI-related academic partnerships across the Midwest. The workshops will engage community members to not only help the project understand the needs of rural citizens, but also to educate the public about AI applied to issues of health, wellness, and resiliency, as well as to bring researchers into rural communities to experience the challenges they face first-hand. Moreover, the project will work towards building capacity in the form of an AI-educated workforce in the Midwest, and investigating the ethical and societal impact of AI-driven technologies to inform policymakers on how best to promote and regulate AI for health, wellness, and resiliency in rural America.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)有望在许多方面改善我们的生活,但大多数AI创新都集中在沿海城市,远离美国农村的挑战。这使得人工智能技术中心很难针对美国农村地区的独特挑战和机遇进行研究和设计,美国农村地区占美国人口的20%以上。例如,农村地区的人更有可能过量服用阿片类药物,肥胖或吸烟。 在农村地区,一岁之前死亡的婴儿人数比城市高出近50%。此外,美国农村地区在获取人工智能所依赖的技术方面面临着重大挑战,包括互联网、计算机和智能手机。不幸的是,人工智能不仅会让美国农村落后,而且会造成重大伤害,这是一个真实的危险:在未来十年内,自动化可能会取代农村县25%的工作岗位,许多农村地区无法轻松进入教育和职业机构接受新工作的再培训。该项目将计划在中西部建立一个人工智能研究所,致力于创建人工智能技术,以显着改善农村的健康,健康和弹性。解决重大的技术和社会挑战,创造可持续的、道德的、社会接受的和成功的人工智能应用,将需要一种跨学科的方法,将许多领域的研究紧密结合起来。该项目将围绕五个主要技术支柱(值得信赖的人工智能,可解释的人工智能,以人为本的人工智能,无处不在的人工智能,道德人工智能)和三个主要领域(农村健康,农村健康,农村弹性)在一系列研讨会上汇集专家,以建立跨中西部的合作,这将为两年后的研究所提案奠定基础。该项目将开始,以满足研究人工智能以改善农村社区健康、健康和弹性的迫切需要,解决这些应用的独特技术挑战,并努力确保美国农村地区分享人工智能即将带来的变化的好处,而不是牺牲品。该项目将研究新的人工智能技术,这些技术将提高人工智能的准确性、安全性、可解释性和可靠性,这将使健康以外的无数应用受益。该项目还将为希望参与大学研究的社区合作伙伴创建教育模块,建立合作伙伴关系,教育和激励更大的社区了解人工智能的挑战和机遇,以解决美国农村面临的紧迫问题,并在整个中西部发展新的人工智能相关学术合作伙伴关系。这些研讨会将让社区成员参与进来,不仅帮助该项目了解农村居民的需求,还将教育公众有关人工智能应用于健康,健康和弹性问题的知识,并将研究人员带入农村社区,亲身体验他们面临的挑战。此外,该项目将致力于在中西部培养受过人工智能教育的劳动力,并调查人工智能驱动技术的道德和社会影响,以告知政策制定者如何最好地促进和规范人工智能对健康,健康,该奖项反映了NSF的法定使命,并通过使用基金会的智力价值进行评估,被认为值得支持和更广泛的影响审查标准。

项目成果

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David Crandall其他文献

Deep learning-based 3D reconstruction from multiple images: A survey
基于深度学习的多图像 3D 重建:一项调查
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Chuhua Wang;Md. Alimoor Reza;Vibhas Kumar Vats;Yingnan Ju;Nikhil Thakurdesai;Yuchen Wang;David Crandall;Soon;Jeongil Seo
  • 通讯作者:
    Jeongil Seo
Social signals predict contemporary art prices better than visual features, particularly in emerging markets
社会信号比视觉特征更能预测当代艺术品的价格,尤其是在新兴市场
  • DOI:
    10.1038/s41598-024-60957-z
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Kangsan Lee;Jaehyuk Park;Sam Goree;David Crandall;Yong
  • 通讯作者:
    Yong
COMPARISON OF REMISSION RATES AND TOLERABILITY IN PATIENTS WITH EARLY-EPISODE SCHIZOPHRENIA RECEIVING ARIPIPRAZOLE OR HALOPERIDOL
  • DOI:
    10.1016/s0920-9964(08)70785-0
  • 发表时间:
    2008-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sheila Assunção-Talbott;David Crandall;James M Eudicone;Andrei Pikalov;Robert D McQuade;John M Kane
  • 通讯作者:
    John M Kane
Advances in the Management of Dislocated Intraocular Lenses
人工晶状体脱位的治疗进展
  • DOI:
    10.1016/j.yaoo.2024.02.008
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Morgan Frechie;Calvin Robbins;Benjamin Katz;David Crandall
  • 通讯作者:
    David Crandall
Extraction of special effects caption text events from digital video

David Crandall的其他文献

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{{ truncateString('David Crandall', 18)}}的其他基金

Student Travel Grants for the Second International Workshop on The Bright and Dark Side of Computer Vision: Challenges and Opportunities for Privacy and Security
第二届计算机视觉的光明与黑暗的一面国际研讨会的学生旅费资助:隐私和安全的挑战与机遇
  • 批准号:
    1834899
  • 财政年份:
    2018
  • 资助金额:
    $ 49.97万
  • 项目类别:
    Standard Grant
A Workshop on Computer Vision Challenges and Opportunities for Privacy and Security
关于计算机视觉隐私和安全挑战与机遇的研讨会
  • 批准号:
    1744748
  • 财政年份:
    2017
  • 资助金额:
    $ 49.97万
  • 项目类别:
    Standard Grant
CAREER: Observing the world through the lenses of social media
职业:通过社交媒体的镜头观察世界
  • 批准号:
    1253549
  • 财政年份:
    2013
  • 资助金额:
    $ 49.97万
  • 项目类别:
    Continuing Grant

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