REU Site: Summer Undergraduate Program in Engineering Research at Berkeley-Responsible Artificial Intelligence (SUPERB-RAI)

REU 网站：伯克利负责任人工智能工程研究暑期本科生项目 (SUPERB-RAI)

• 批准号: 1950668
• 负责人: David Wagner
• 金额: $ 32.98万
• 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: 2020-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950668&HistoricalAwards=false
• 关键词: REU; Site; Summer; Undergraduate; Program

The UC Berkeley Department of Electrical Engineering and Computer Sciences (EECS) proposes a suite of projects to deal with the challenges and risks from the widespread adoption of Artificial Intelligence (AI) in areas such as marketing, finance, law enforcement, health care and entertainment. With the successes and benefits of AI come great risks. These Research Experiences for Undergraduates (REU) projects tackle many of the challenges in the responsible development of AI systems. Leading researchers in Electrical Engineering and Computer Science will mentor students on their REU projects. Faculty identified as mentors have excellent track records of mentoring undergraduate research. The projects in this proposal cover many key challenges in responsible AI including: fairness in machine learning algorithms, safety in human-robot interaction, fairness in law enforcement, provably-safe AI systems, defense against adversarial attacks, managing unpredictability in AI-engineered artificial proteins, and AI-enhanced neural sensors. The research team consists of leaders in these respective areas.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.

加州大学伯克利分校电气工程和计算机科学系(EECS)提出了一系列项目，以应对市场营销、金融、执法、医疗保健和娱乐等领域广泛采用人工智能(AI)带来的挑战和风险。人工智能的成功和好处随之而来的是巨大的风险。这些本科生研究经验(REU)项目解决了负责任的人工智能系统开发中的许多挑战。电气工程和计算机科学领域的顶尖研究人员将指导学生完成他们的REU项目。被认定为导师的教师在指导本科生研究方面有着良好的记录。该提案中的项目涵盖了负责任的人工智能中的许多关键挑战，包括：机器学习算法的公平性、人机交互的安全性、执法的公平性、可证明安全的人工智能系统、对抗对手攻击的防御、管理人工智能工程人工蛋白的不可预测性，以及人工智能增强的神经传感器。研究团队由这些领域的领导者组成。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。