SaTC: EDU: Secure and Private Artificial Intelligence

SaTC：EDU：安全且私密的人工智能

• 批准号: 2054968
• 负责人: Daniel Takabi
• 金额: $ 39.97万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2054968&HistoricalAwards=false
• 关键词: SaTC; EDU; Secure; Private; Artificial

As artificial intelligence (AI) is incorporated into more systems, there are growing cybersecurity concerns related to privacy protection as well as a need for highly trained professionals who can develop and deploy trustworthy AI systems. The goal of this project is to develop instructional materials that expose students to privacy issues inherent in AI systems through real-world examples. The project will have a direct and long-term impact by addressing the growing national need for highly trained professionals capable of taking a holistic approach to solving real world problems in complex AI systems. In addition, the project will benefit numerous students from underrepresented minority groups and improve diversity of the workforce. Georgia State University is a minority-serving institution and has strong connections with Historically Black Colleges and Universities (HBCUs) in Metro Atlanta and the wider region. The project will disseminate the developed materials through training workshops for the educational community and therefore promote adoption of training modules addressing privacy and AI.The interdisciplinary project team will develop a new course, “Private AI”, which will include instructional modules and hands-on labs that employ state-of-the-art private AI techniques addressing different privacy challenges of AI systems. These instructional modules will be designed according to learning science principles, specifically the principles of problem-centered instruction (PCI). The modules will be based on real-world systems and are designed to cover fundamental privacy principles in AI systems and practical skills systematically. The learning objectives of the interactive curricular activities are for students to (i) understand fundamental concepts and principles of private AI; (ii) understand privacy attacks and defenses, different privacy-preserving techniques, and the pros and cons of each approach; and (iii) gain knowledge and skills in the development and deployment of private AI systems. The deliverables also include manuals to help instructors integrate the modules into their curricula and guidelines on implementing PCI activities in the classroom since many instructors are not experts in instructional sciences. In order to simplify integration and encourage adoption, the modules and the labs will be based on open-source software and tools that are free to use for educational purposes. The modules will also be distributed via free cloud platforms. This project is supported by the Secure and Trustworthy Cyberspace (SaTC) program, which funds proposals that address cybersecurity and privacy, and in this case specifically cybersecurity 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.

随着人工智能（AI）被整合到更多的系统中，与隐私保护有关的网络安全问题越来越多，并且需要训练有素的专业人员，这些专业人员可以开发和部署可信赖的AI系统。该项目的目的是开发教学材料，使学生通过现实世界中的AI系统中固有的隐私问题。该项目将通过满足对能够采取整体方法来解决复杂AI系统中现实世界问题的训练有素的专业人士的国家需求的日益增长的国家需求，从而产生直接和长期的影响。此外，该项目将使来自代表性不足的少数群体的众多学生受益，并改善劳动力的多样性。佐治亚州立大学是一家少数族裔的机构，与亚特兰大都会和更广泛地区的历史悠久的黑人学院（HBCU）建立了牢固的联系。该项目将通过为教育社区的培训研讨会来传播开发的材料，因此促进了针对隐私和AI的培训模块的采用。跨学科项目团队将开发一门新课程“私人AI”，其中包括教学模块和实验室，其中包括员工雇员的最终私人AI技术，以解决AI Systems的不同隐私挑战。这些教学模块将根据学习科学原则，特别是以问题为中心的说明（PCI）设计。这些模块将基于现实世界系统，旨在系统地涵盖AI系统和实用技能的基本隐私原则。互动当前活动的学习对象是让学生（i）了解私人AI的基本概念和原理； （ii）了解隐私攻击和防御，不同的隐私技术以及每种方法的利弊； （iii）在私人AI系统的开发和部署方面获得知识和技能。交付成果还包括手册，以帮助教师将模块集成到其课程中，并在课堂上实施PCI活动的指南，因为许多讲师不是教学科学专家。为了简化集成和鼓励采用，模块和实验室将基于可自由用于教育目的的开源软件和工具。这些模块还将通过自由云平台分发。该项目得到了安全且值得信赖的网络空间（SATC）计划的支持，该计划资助了解决网络安全和隐私的建议，在这种情况下，特别是网络安全教育。 SATC计划与联邦网络安全研究与发展战略计划以及国家隐私研究战略保持一致，以保护和维护网络系统的不断增长的社会和经济利益，同时确保安全和隐私。该奖项反映了NSF的法定任务，并被认为是通过使用基金会的知识分子和更广泛影响的评估来审查Criteria来通过评估来通过评估来支持的。