CyberTraining: Implementation: Small: Building Future Research Workforce in Trustworthy Artificial Intelligence (AI)

网络培训：实施：小型：建立可信赖人工智能 (AI) 领域的未来研究队伍

• 批准号: 2413654
• 负责人: Daniel Takabi
• 金额: $ 49.92万
• 依托单位: Old Dominion University Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2413654&HistoricalAwards=false
• 关键词: CyberTraining; Implementation; Small; Building; Future

The goal of the project is to train current and future research workforce members in trustworthy artificial intelligence (AI) by developing instructional materials that expose students to various challenges of trustworthy AI systems. The project is focused on the vital national need for well-trained and highly knowledgeable researchers in trustworthy AI who are capable of solving real world problems in complex AI systems and help enable secure and safe adoption of AI systems. The project will have direct and long-term impact in both the public and private sectors by training the research workforce to address trustworthy AI challenges. Georgia State University is a minority-serving institution (MSI), and the project will form a coordination network consisting of research universities, 4-year colleges, historically black colleges and universities (HBCUs), Hispanic-serving institutions (HSIs), and women’s colleges in Metro Atlanta and the broader region. The collaboration will significantly increase the collective impact of the project, benefit numerous students from underrepresented groups and help increase the diversity of the research workforce. The project team will develop interactive instructional materials including a set of hands-on labs that employ state-of-the-art trustworthy AI techniques to address the various challenges of AI systems. The instructional materials to be developed include modules on adversarial machine learning, evasion attacks and defenses, data poisoning attacks and defenses, privacy attacks and defenses, testing and verification, and fairness, accountability, transparency, and ethics (FATE). The project employs learning science principles, specifically the active learning and inquiry-based learning strategies that result in deeper understanding by students and provide formative feedback to instructors. The instructional materials are based on real-world systems and are designed to systematically cover fundamental principles in trustworthy AI and practical skills. The project also will provide guidelines to help instructors integrate the modules into their curriculum. The hands-on labs will be built based on only open-source software and tools that are free to use for educational purposes and will be distributed via free cloud platforms. The project evaluation includes formative and summative evaluations that use both quantitative and qualitative approaches and will be conducted by an experienced external evaluator with help from the project team. The project will disseminate the developed materials through training workshops for the educational and research communities.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.

该项目的目的是通过开发教学材料来培训可信赖的人工智能（AI）的当前和未来的研究人员成员，从而使学生面临可信赖的AI系统的各种挑战。该项目的重点是国家对可信赖的AI训练有素且知识渊博的研究人员的至关重要的需求，他们能够解决复杂的AI系统中的现实世界问题，并有助于实现AI系统的安全和安全采用。该项目将通过培训研究人员来应对值得信赖的AI挑战，对公共部门和私营部门产生直接和长期的影响。佐治亚州立大学是一家少数族裔服务机构（MSI），该项目将组成一个协调网络，该网络由研究大学，四年制大学，历史上的黑人学院和大学（HBCUS），西班牙裔服务机构（HSIS）以及亚特兰大都会和广大地区的妇女学院组成。该合作将大大增加项目的集体影响，使来自代表性不足的群体的众多学生受益，并有助于增加研究劳动力的多样性。项目团队将开发交互式教学材料，包括一套动手实验室，这些实验室采用最先进的AI技术来应对AI系统的各种挑战。要开发的教学材料包括有关对抗机器学习，逃避攻击和防御，数据中毒攻击和防御的模块，隐私攻击和防御，测试和验证以及公平，问责制，透明度和道德（命运）。项目员工学习科学原则，特别是基于积极的学习和基于询问的学习策略，从而使学生更深入地了解并向讲师提供形成性的反馈。讲师材料基于现实世界的系统，旨在系统地涵盖值得信赖的AI和实用技能的基本原理。该项目还将提供指导方针，以帮助讲师将模块集成到其课程中。动手实验室将仅基于免费用于教育目的的开源软件和工具，并将通过免费的云平台分发。项目评估包括使用定量和定性方法的形成性和总结性评估，并将在项目团队的帮助下由经验丰富的外部评估进行。该项目将通过为教育和研究社区的培训研讨会传播开发的材料。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被视为通过评估而被视为珍贵的支持。