A Plan for an ACM Task Force Working Group Into the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Date
Authors
Mak, Janice
Nakatumba-Nabende, Joyce
Clear, Alison
Clear, Tony
Sanusi, Ismaila
Sheard, Judy
Angeli, Lorenzo
Rattigan, Matthew Hale
Andrei, Oana
Mann, Samuel
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Association for Computing Machinery (ACM)
Abstract
Generative AI (GenAI) presents societal and ethical challenges related to equity, academic integrity, bias, and data provenance. This working group will consider the ethical and societal impacts of GenAI in higher computing education. In this paper, we outline the goals, methodology and expected deliverables of the working group. In particular, we will carry out a systematic literature review to address a wide set of issues and topics covering the rapidly emerging technology of GenAI from the perspective of its ethical and social impacts, we will provide an evaluation of university policies on the adoption and guidelines for use of GenAI for computing education and develop a framework to outline the ethical and societal impacts of GenAI in computing education. This work synthesizes existing research and considers the implications for educational and professional codes of ethics.Description
Keywords
35 Commerce, Management, Tourism and Services, 3507 Strategy, Management and Organisational Behaviour, 46 Information and Computing Sciences, 50 Philosophy and Religious Studies, 5001 Applied Ethics, 4608 Human-Centred Computing, Basic Behavioral and Social Science, Behavioral and Social Science, 8.3 Policy, ethics, and research governance, 4 Quality Education
Source
ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. Pages 703 - 704. https://doi.org/10.1145/3724389.3731282
Publisher's version
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