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A Plan for an ACM Task Force Working Group Into the Ethical and Societal Impacts of Generative AI in Higher Computing Education

aut.relation.conferenceITiCSE 2025: Innovation and Technology in Computer Science Education
aut.relation.endpage704
aut.relation.startpage703
aut.relation.volume2
dc.contributor.authorMak, Janice
dc.contributor.authorNakatumba-Nabende, Joyce
dc.contributor.authorClear, Alison
dc.contributor.authorClear, Tony
dc.contributor.authorSanusi, Ismaila
dc.contributor.authorSheard, Judy
dc.contributor.authorAngeli, Lorenzo
dc.contributor.authorRattigan, Matthew Hale
dc.contributor.authorAndrei, Oana
dc.contributor.authorMann, Samuel
dc.contributor.authorOyelere, Solomon Sunday
dc.contributor.authorMacNeil, Stephen
dc.contributor.authorZhu, Tingting
dc.date.accessioned2025-09-04T02:48:44Z
dc.date.available2025-09-04T02:48:44Z
dc.date.issued2025-06-17
dc.description.abstractGenerative 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.
dc.identifier.citationITiCSE 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
dc.identifier.doi10.1145/3724389.3731282
dc.identifier.isbn9798400715693
dc.identifier.issn1942-647X
dc.identifier.urihttp://hdl.handle.net/10292/19756
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.urihttps://dl.acm.org/doi/10.1145/3724389.3731282
dc.rightsPermission to make digital or hard copies of all or part 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(s). ITiCSE 2025, Nijmegen, Netherlands © 2025 Copyright held by the owner/author(s).
dc.rights.accessrightsOpenAccess
dc.subject35 Commerce, Management, Tourism and Services
dc.subject3507 Strategy, Management and Organisational Behaviour
dc.subject46 Information and Computing Sciences
dc.subject50 Philosophy and Religious Studies
dc.subject5001 Applied Ethics
dc.subject4608 Human-Centred Computing
dc.subjectBasic Behavioral and Social Science
dc.subjectBehavioral and Social Science
dc.subject8.3 Policy, ethics, and research governance
dc.subject4 Quality Education
dc.titleA Plan for an ACM Task Force Working Group Into the Ethical and Societal Impacts of Generative AI in Higher Computing Education
dc.typeConference Contribution
pubs.elements-id612163

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