Ethical and Societal Impacts of Generative AI in Higher Computing Education: An ACM Task Force Working Group to Develop a Landscape Analysis – Perspectives from the Global Souths and Guidelines for CS1/CS2/CS3
Date
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
Abstract
Generative AI has a wide range of impacts on how we access and use information, particularly as educational settings and perspectives differ greatly across different locations. These impacts extend to society and include impacts on intellectual and creative works and the potential infringement of authorship. Differences in institutional GenAI policies (and in funding) may create unequal access to AI tools, the potential disparity in student knowledge of AI tools, responsible uses of AI tools, ethical questions about AI tools, and uneven student knowledge of the benefits and limitations of AI tools. Generative AI introduces questions concerning academic integrity, bias, and data provenance. The training data's source, reliability, veracity, and trustworthiness may be in doubt, creating broader societal concerns about the output of the Generative AI models. This working group will conduct a landscape analysis on Global South ethical questions related to the use of Generative AI tools in higher education contexts, identifying promising principles, challenges, and ways to navigate the implementation of Generative AI in ethical and principled ways.Description
Source
Claudia Szabo, Nickolas J. G. Falkner, Mbodila Munienge, Judithe Sheard, Mabberi Enock, Tony Clear, Delali Kwasi Dake, Omowumi Ogunyemi, Oluwakemi Ola, Tsholofetso Taukobong, and Bimlesh Wadhwa. 2025. Ethical and Societal Impacts of Generative AI in Higher Computing Education: An ACM Task Force Working Group to Develop a Landscape Analysis - Perspectives from the Global Souths and Guidelines for CS1/CS2/CS3. In Proceedings of the ACM Global on Computing Education Conference 2025 Vol 2 (CompEd 2025). Association for Computing Machinery, New York, NY, USA, 371–372. https://doi.org/10.1145/3736251.3749526
Publisher's version
Rights statement
Copyright © 2025 Owner/Author. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.