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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：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

基本信息

批准号：
2039637
负责人：
Matthew Cannady
金额：
$ 30万
依托单位：
University of California-Berkeley
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：
2020-08-01 至 2021-10-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2039637&HistoricalAwards=false
关键词：
EAGER SaTC EDU transdisciplinary program

项目摘要

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.

与人工智能（AI）相关的技术和算法同时是网络安全的突出优势和迫在眉睫的威胁。人工智能可以帮助检测恶意攻击，但也可以提高此类攻击的功效。随着人工智能系统嵌入到我们最重要的社会机构中，对其预期行为的操纵对许多基本权利构成了严重威胁。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，必须建立跨学科的方法，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、透明度和道德（FATE）原则。为了支持这一目标，该项目将开发一种名为TechHive：AI的新型教育方法。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符合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，它还将支持发展一个能够理解人工智能的隐私，保密，道德，安全和安全影响的知情公众。跨学科项目团队将制定一套设计原则和流程，以支持在人工智能，网络安全和FATE交叉点的学习。具体成果将包括：（1）用于教授网络安全和人工智能的跨学科课程模型;（2）开发有效的在线和混合学习模型的指导方针，将STEM和社会科学课程与网络安全和人工智能的FATE原则相结合;以及（3）一份研究报告，将详细介绍该模型的有效性，以支持高中生的劳动力技能发展。此外，该项目旨在解决以下研究问题：（1）参与学生对FATE原则的认识和/或价值是否有所提高？(2)学生们是否提高了对技术对社会的影响的认识，并发展了以最大限度地提高社会效益的方式设计和部署技术的技能？(3)什么样的设计原则和过程最能促进人工智能、网络安全和FATE原则的交叉点的学习，特别是在混合/在线教学环境中的高中生中？通过这一合作努力产生的设计原则和程序将有助于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。该项目得到了安全和值得信赖的网络空间（SaTC）计划的特别倡议的支持，以促进网络安全，人工智能和教育领域之间新的，以前未探索的合作。SATC计划与联邦网络安全研究和发展战略计划和国家隐私研究战略保持一致，以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。