REU Site: Interdisciplinary AI Research for Undergraduates

REU 网站：本科生跨学科人工智能研究

• 批准号: 2150643
• 负责人: Garrison Cottrell
• 金额: $ 40.5万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150643&HistoricalAwards=false
• 关键词: REU; Site; Interdisciplinary; AI; Research

The overall aim of the REU Site is to provide undergraduate students with a research experience that leads to publishable work in interdisciplinary Artificial Intelligence, as well as educate students in the ethics of Artificial Intelligence (AI). AI is having increasing impact in our everyday lives, whether through interacting with smart speakers and digital assistants, preventing collisions, discovering new medicines, intelligent tutoring, Google Translate, and many more avenues. AI is also one of the most controversial new technologies, as many critiques have been made concerning its potential risk as an existential threat, its use as a tool of oppression by authoritarian governments, its use in sentencing decisions by judges, and its biases due to datasets based on human judgments. It is imperative that students and the public become aware of the promise and the potential impacts, good or bad, on our future. In addition, a 2016 World Economic Forum Report “The Future of Jobs 2018” estimates that there will be 58 million new jobs in AI by 2022. Hence, more students, and more diverse students, must be recruited and trained in AI methods and ethics. This project will train eleven students per year for three years, including half from local community colleges, to prepare them for careers in responsible AI.This project will train eleven students per year in interdisciplinary Artificial Intelligence, as well as the ethics of AI research, including its potential benefits and dangers. In addition, the approach is collaborative, rather than competitive, research, as modern AI discoveries will be made by researchers who are willing to work with scientists from other disciplines in order to be able to approach problems with the best tools available no matter what discipline created them. Introducing students to this collaborative approach to Artificial Intelligence is a necessary step to prepare them to contribute to science as it is practiced in the 21st century. A crucial aspect of the project is that it is a thirty week academic year program, giving the trainees the necessary time to absorb the material, think about the project, develop approaches, and test them. The program will begin with an AI Boot Camp, which will meet the first eight Saturdays of the academic year, giving the students a crash course in gradient descent and its application in deep learning. The students will begin with heavily scaffolded starter projects that will give them an initial taste of success. From there, they will apply acquired skills to interdisciplinary projects being carried out in active research labs at UC San Diego. The project mentors include faculty who are using AI in their research in the departments of Computer Science and Engineering, Electrical and Computer Engineering, Cognitive Science, Linguistics, Psychology, and the Contextual Robotics Institute.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.

REU网站的总体目标是为本科生提供研究经验，导致跨学科人工智能的可持续工作，并教育学生人工智能（AI）的伦理。人工智能正在我们的日常生活中产生越来越大的影响，无论是通过与智能扬声器和数字助理的交互，防止碰撞，发现新药，智能辅导，谷歌翻译，以及更多的途径。人工智能也是最具争议的新技术之一，因为许多批评都涉及其作为生存威胁的潜在风险，其作为专制政府压迫的工具，其在法官判决中的使用，以及由于基于人类判断的数据集而产生的偏见。学生和公众必须意识到这一承诺和对我们未来的潜在影响，无论是好是坏。此外，2016年世界经济论坛的一份报告《2018年工作的未来》估计，到2022年，人工智能领域将有5800万个新工作岗位。因此，必须招募更多的学生，更多样化的学生，并在人工智能方法和道德方面进行培训。该项目将在三年内每年培训11名学生，其中一半来自当地社区学院，为他们在负责任的人工智能领域的职业生涯做好准备。该项目将每年培训11名学生跨学科人工智能，以及人工智能研究的伦理，包括其潜在的好处和危险。此外，这种方法是合作研究，而不是竞争性研究，因为现代人工智能的发现将由愿意与其他学科的科学家合作的研究人员做出，以便能够使用最好的工具来解决问题，无论是什么学科创造了它们。向学生介绍这种人工智能的协作方法是使他们为科学做出贡献的必要步骤，因为它在21世纪世纪已经实践。该项目的一个关键方面是，它是一个为期30周的学年计划，给学员必要的时间来吸收材料，思考项目，开发方法，并测试它们。该计划将从AI靴子Camp开始，该训练营将在学年的前八个星期六举行，为学生提供梯度下降及其在深度学习中的应用的速成课程。学生们将开始与沉重的脚手架启动项目，将给他们一个初步的成功的味道。从那里，他们将获得的技能应用于正在积极的研究实验室在加州大学圣地亚哥分校进行的跨学科项目。该项目的导师包括计算机科学与工程、电气与计算机工程、认知科学、语言学、心理学和上下文机器人研究所的教师。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。