We describe a pedagogical study in which we designed and implemented a module for undergraduate Management Information Systems (MIS) students, aimed at preparing them for an increasingly AI-impacted business environment and society. We developed a learning module that taps their inherent motivation to make a meaningful difference, challenging them to ideate applications of AI for social good (AI4SG), focused specifically on sustainability. We piloted the module in an existing introductory MIS course, first establishing a range of fundamental AI capabilities through hands-on demos and study cases. Then, with instructor guidance, the student teams, working in a social entrepreneurship "start-up" context, identified sustainability challenges impacting their own communities and worked together to propose and pitch AI-powered solutions. The results suggest that students find this approach deepened their understanding of sustainability issues in their communities, improved their knowledge of how AI could address social issues, and improved their confidence in their ability to innovate.
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Prototyping AI-Powered Social Innovation in an Undergraduate MIS course
While implementing with caution, Artificial Intelligence (AI) holds potential to help nations address pressing social issues, such as homelessness, climate change, and healthcare accessibility. With the existing and potential economic and social benefits of AI, it is crucial to integrate AI learning in undergraduate education. This paper presents the preliminary findings of a course project that engages students to learn AI by prototyping solutions to address important social issues in their communities among 120 undergraduate MIS students. Students worked in groups and developed chatbots that addressed a variety of community issues during COVID-19. A survey study shows students’ enhanced understanding and mastery of AI concepts and applications, empowerment of contributing to their communities through AI innovation, and an emerging awareness of diversity, equity, and ethical issues in the community and AI technologies. We conclude with implications of learning AI, innovation, and ethics through the lens of AI for social good.
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- Award ID(s):
- 2142783
- PAR ID:
- 10510751
- Publisher / Repository:
- International Conference on Information Systems (ICIS) 2023
- Date Published:
- Journal Name:
- International Conference on Information Systems (ICIS) 2023
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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