AI for Social Good: An Interdisciplinary Undergraduate AI Education Project

AI for Social Good: An Interdisciplinary Undergraduate AI Education Project

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Description

Advances in AI hold the potential for further economic and societal impact and quality-of-life improvements. Along with this fast advancement in technology is the need for society to address long-term sustainability goals. Hence, students need to be educated with the knowledge and skills of AI in emerging and rapidly changing fields to become future leaders and innovators for a sustainable society. However, current AI education tends to lack broad multidisciplinary participation, focus on the technical aspects, and lack diversity. The AI for social good (AI4SG) aims to implement and generate evidence-based practices for interdisciplinary, community-engaged, and inclusive AI education.

About the Author

Dr. Yu Chen is an associate professor at School of Information Systems and Technology at Lucas College and Graduate School of Business. Her research focus is emerging technology education for social good. Dr. Chen leads the multi-university AI for Social Good (AI4SG) education project sponsored by the NSF IUSE program, which has engaged over 1,000 undergraduate students and generated over 200 innovation projects in over 30 classes among three universities. Undergraduate student achievements include awards at CSU Student Research Competitions, entrepreneurship competitions, an incorporated startup, and student-first-authored publications. Dr. Chen also volunteers teaching computer science and AI at K-12 schools.

Date of Event

Fall 10-18-2023

Keywords

AI, Multidisciplinary participation, Inclusive AI education, Evidence-based practices

Disciplines

Artificial Intelligence and Robotics | Computer Sciences | Databases and Information Systems | Data Science | Graphics and Human Computer Interfaces

Comments

1 streaming video file (57 min.) : digital, sound, color. Closed-captioned for the hearing impaired.

AI for Social Good: An Interdisciplinary Undergraduate AI Education Project

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