December 1st, 2023 | McKenna Hall, University of Notre Dame
Venue and Travel information:
For detailed directions and travel options to the Trustworthy AI Lab for Education Summit at the University of Notre Dame, please visit our comprehensive Venue and Travel Information page. This page offers essential information on air and ground transportation, on-campus accommodation, local travel services, and campus navigation to ensure a hassle-free experience for all our summit attendees.
Description:
The Trustworthy AI Lab for Education (TALE) at Notre Dame will bring together a multidisciplinary team of psychologists, computer scientists, learning scientists, and STEM education researchers across campus as well as external partners, to decipher how to build effective and trusted AI solutions for education. The summit will produce a white paper and roadmap of human-centric AI in education outlining the vision, expectations, timelines, and metrics for achieving the goals, which are intended to provide guidance to the entire research community so it will benefit a wider audience as well. This summit, in combination with other start-up activities, searching for other sources of information and collaboration with other Notre Dame entities will lead to increased awareness and visibility needed to bootstrap the entity kick off process.
Event Organizers:
Our steering committee includes:
Alison Cheng, Chair, Professor in Quantitative Psychology, Associate Director of the Lucy Family Institute for Data and Society (Psychometrics, Educational Data Mining, Learning Analytics)
- Nitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering, Founding Director of the Lucy Family Institute for Data and Society (Data Science for Common Good, artificial intelligence, data science, and network science)
- Daniel Lapsley, Professor in Psychology, Fellow of Institute of Educational Initiatives (Moral Development, interpersonal trust)
- John Behrens, Professor of the Practice of Digital Learning; Director, Office of Learning Analytics in ND Learning; Director, College Technology Initiatives in the College of Arts & Letters; Director, Idzik Computing & Digital Technologies Program (Data Science, Assessment, Graphical and Exploratory data analysis)
Our planning committee includes:
- Cheng Liu, Lucy Family Institute for Data and Society
- Meng Jiang, Notre Dame Computer Science and Engineering
- Fang Liu, Department of Applied and Computational Mathematics and Statistics
Poster Session Co-Chairs
- Alex Ambrose, ND Learning
- Nuno Moniz, Lucy Family Institute for Data and Society
- Sugana Chawla, Lucy Family Institute for Data and Society
Research Presentation Session Co-Chairs
- Toby Li, Notre Dame Computer Science and Engineering
- Xiangliang Zhang, Notre Dame Computer Science and Engineering