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EAGER: SaTC-EDU: A transdisciplinary program for pre-college youth to prepare the future workforce for FATE in AI

EAGER: SaTC-EDU: A transdisciplinary program for pre-college youth to prepare the future workforce for FATE in AI
EAGER:SaTC-EDU:一项针对大学预科青年的跨学科计划,旨在为未来的人工智能 FATE 做好准备
批准号:
2039637
负责人:
Matthew Cannady
金额:
$30.0万
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
项目状态:
已结题
起止时间:
2020-08-01 至 2021-10-31

项目摘要

项目成果

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中文摘要
翻译
与人工智能(AI)相关的技术和算法既是一个突出的优势,也是一个迫在眉睫的网络安全威胁。人工智能可以帮助检测恶意攻击,但也有助于提高此类攻击的效率。随着支持人工智能的系统嵌入到我们最关键的社会机构中,对其预期行为的操纵是对许多基本权利的严重威胁。挑战不仅是技术上的,而且在物理、社会和技术领域的互动中也很明显。为了应对这些挑战,至关重要的是建立跨学科的方法,将人工智能、网络安全和社会科学领域结合起来,有效地理解和应用人工智能中的公平、问责、透明和道德(FATE)原则。为了实现这一目标,该项目将开发一种名为TechHive: AI的新颖教育方法。该方法将侧重于从边缘化社区招募青少年,并为他们提供如何以遵守FATE原则的方式应对人工智能网络安全威胁的培训。该项目的重点是确保学生将获得必要的准备,以追求人工智能和网络安全的职业道路。此外,它将支持发展一个知情的公众,能够理解人工智能的隐私、保密、道德、安全和安保影响。跨学科项目团队将制定一套设计原则和流程,以支持人工智能、网络安全和FATE交叉领域的学习。具体交付成果将包括:(1)网络安全和人工智能教学的跨学科课程模型;(2)制定有效的在线和混合学习模式的指导方针,将STEM和社会科学课程与网络安全和人工智能中的FATE原则相结合;(3)一份研究报告,详细说明该模型在支持高中生劳动力技能发展方面的有效性。此外,该项目旨在解决以下研究问题:(1)参与的学生对FATE原则的认识和/或价值是否有所提高?(2)学生是否已经提高了对技术对社会影响的认识,并培养了以最大化社会效益的方式设计和部署技术的技能?(3)在人工智能、网络安全和FATE原则的交叉点上,什么设计原则和流程最能促进学习,尤其是在混合/在线教学环境下的高中生中?通过这种合作努力产生的设计原则和过程将支持建立一个将技术教育与道德培训相结合的最佳做法知识库。该项目由安全与可信网络空间(SaTC)计划的一项特别倡议支持,旨在促进网络安全、人工智能和教育领域之间前所未有的合作。SaTC项目与《联邦网络安全研究与发展战略计划》和《国家隐私研究战略》保持一致,旨在保护和维护网络系统日益增长的社会和经济效益,同时确保安全和隐私。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The techniques and algorithms associated with artificial intelligence (AI) are simultaneously an outstanding benefit and a looming threat to cybersecurity. AI can aid in the detection of malicious attacks but can also contribute to the efficacy of such attacks. As AI-enabled systems become embedded in our most critical social institutions, the manipulation of their intended behavior is a serious threat to many fundamental rights. The challenge is not only technical, but also apparent in interactions across physical, social, and technological spheres. In order to respond to these challenges, it is critical to establish transdisciplinary approaches that bring together the fields of AI, cybersecurity, and social sciences to effectively understand and apply fairness, accountability, transparency, and ethics (FATE) principles in AI. To support this goal, this project will develop a novel educational approach called TechHive: AI. The approach will focus on recruiting teens from marginalized communities and providing them with training in how to address AI cybersecurity threats in ways that adhere to the FATE principles. The project’s focus ensures that students will receive the necessary preparation to pursue career pathways in AI and cybersecurity. In addition, it will support the development of an informed public capable of understanding the privacy, confidentiality, ethics, safety, and security implications of AI.The transdisciplinary project team will develop a set of design principles and processes to support learning at the intersection of AI, cybersecurity, and FATE. Specific deliverables will include: (1) a transdisciplinary curricular model for teaching cybersecurity and AI; (2) guidelines for the development of effective online and hybrid learning models that integrate STEM and social science curricula with FATE principles in cybersecurity and AI; and (3) a research report that will detail the effectiveness of this model to support high schoolers’ development of workforce skills. In addition, the project aims to address the following research questions: (1) Is there increased awareness and/or value of FATE principles among participating students? (2) Do students have increased awareness of the effects of technology on society and development of skills to design and deploy technology in ways that maximize societal benefit? (3) What design principles and processes best promote learning at the intersection of AI, cybersecurity, and FATE principles, especially among high schoolers within a hybrid/online instructional context? The design principles and processes produced through this collaborative effort will support the development of a knowledge base of best practices in integrating technical education with ethical training. This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1609/aaai.v36i11.21556
发表时间: 2022-06
期刊:
影响因子: --
作者: [A. Krakowski;E. Greenwald;Timothy Hurt;Brandie Nonnecke;M. Cannady]
通讯作者: A. Krakowski;E. Greenwald;Timothy Hurt;Brandie Nonnecke;M. Cannady
AI for the Workforce of Tomorrow: Attending to Ethics and Collaboration in Learning Artificial Intelligence for High School Aged Youth
  • 批准号:
    2241576
  • 项目类别:
    Standard Grant
  • 资助金额:
    $129.16万
  • 财政年份:
    2023
  • 负责人:
    Matthew Cannady
  • 依托单位:
Nano-satellites and East Bay Rocket Scientists (NEARS)
  • 批准号:
    1615158
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2016
  • 负责人:
    Matthew Cannady
  • 依托单位:
海外基金