Research Education for Undergraduates

TAX-AI: Research and Education for Trustworthy, Accountable, and eXplainable AI Systems

We are proposing a 10-week summer research program for undergraduates to work on cutting-edge research in Artificial Intelligence, Machine Learning, and Data Science at the University of Connecticut.


This project proposes to establish an REU Site offering undergraduate students the opportunity to participate in artificial intelligence (AI) and machine learning (ML) research activities conducted at the University of Connecticut (UConn). The initiatives aim at advancing AI techniques and ML methods in terms of their interpretability, accountability, and trustworthiness in a set of applications. Specific activities include collaborative projects across multiple departments of UConn School of Engineering to (1) increase the quantity and quality of engineers prepared to address grand challenges in AI; (2) increase the number of students from underrepresented populations who pursue graduate education and academic research in AI-related fields; and (3) build alliances with community education institutions and programs to improve the research scope and depth of their students who will become leaders in AI areas. The REU Site will enable ten participants each year to engage in ten-week intensive learning and research summer activities. Student participants are expected to have a sufficient background in computer science with a strong interest in AI technologies. Our activities are designed for students to gain knowledge specific to the various research problems as well as general skills required in graduate school including writing, presentations, and practice of ethical research.By giving students the opportunity to participate a scientific conference, this program will also broaden students’ vision by allowing them to witness research projects conducted worldwide.