EAGER: SaTC-EDU: Integrating Cybersecurity into Artificial Intelligence Education

EAGER：SaTC-EDU：将网络安全融入人工智能教育

• 批准号: 2115028
• 负责人: Casey Fiesler
• 金额: $ 29.77万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2115028&HistoricalAwards=false
• 关键词: EAGER; SaTC; EDU; Integrating; Cybersecurity

Artificial intelligence (AI) is an increasingly critical component for the computing workforce but also for society as a whole. Therefore, it is essential to safeguard AI technology from vulnerabilities and unintended uses. While the relevance of cybersecurity expertise to AI has never been clearer, these aspects of computing education are often addressed separately. This project will integrate cybersecurity as a topic into university AI courses at multiple levels, ensuring that students who will someday build or maintain AI systems will have the skills they need to operate in an adversarial environment. The goal of this project is to improve education in this area and impact the future workforce in a way that leads to more secure and trustworthy AI systems.The cybersecurity curriculum will be created in collaboration with instructors of university AI-related courses. It will be evaluated through classroom observation, interviews with instructors, and student surveys that measure learning outcomes, engagement, and attitude changes. As a result, this project will add to the body of knowledge for both AI and cybersecurity education in computer science, by evaluating the efficacy of integrated, cross-cutting approaches and learning experiences that situate cybersecurity content in the context of AI knowledge-building. These curricular innovations will also have broader impacts through the creation and dissemination of open resources that can be used by other educators. Moreover, a computing curriculum that stresses social impact (by including, for example, harm mitigation) can improve retention and spark interest among students from traditionally underrepresented groups. Finally, educational strategies for risk assessment and vulnerability analysis in the classroom will be evaluated for their usefulness and potential as models for practices within real-world AI design teams and will provide insights into strategies for better synergy between AI and cybersecurity in practical settings.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.

人工智能（AI）是计算劳动力以及整个社会越来越重要的组成部分。因此，保护人工智能技术免受漏洞和意外使用至关重要。虽然网络安全专业知识与人工智能的相关性从未如此清晰，但计算教育的这些方面通常单独解决。该项目将把网络安全作为一个主题整合到多个层次的大学人工智能课程中，确保有一天构建或维护人工智能系统的学生将拥有在对抗环境中操作所需的技能。 环境该项目的目标是改善这一领域的教育，并以一种更安全和更值得信赖的人工智能系统的方式影响未来的劳动力。网络安全课程将与大学人工智能相关课程的讲师合作创建。它将通过课堂观察，教师访谈和学生调查来衡量学习成果，参与度和态度变化进行评估。因此，该项目将通过评估在人工智能知识建设的背景下整合网络安全内容的综合、跨领域方法和学习经验的有效性，为计算机科学中的人工智能和网络安全教育增添知识。这些课程创新还将通过创建和传播可供其他教育工作者使用的开放资源产生更广泛的影响。此外，强调社会影响的计算课程（例如，通过包括减轻伤害）可以提高保留率，并激发传统上代表性不足的学生的兴趣。最后，将评估课堂上风险评估和脆弱性分析的教育策略，以评估其作为现实世界人工智能设计团队实践模型的有用性和潜力，并将为人工智能和网络安全在实际环境中更好地协同作用的策略提供见解。该项目得到安全和值得信赖的网络空间（SaTC）计划的特别倡议的支持，以促进新的，以前未探索的，网络安全、人工智能和教育领域之间的合作。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。