Mak, JaniceNakatumba-Nabende, JoyceClear, AlisonClear, TonySanusi, IsmailaSheard, JudyAngeli, LorenzoRattigan, Matthew HaleAndrei, OanaMann, SamuelOyelere, Solomon SundayMacNeil, StephenZhu, Tingting2025-09-042025-09-042025-06-17ITiCSE 2025: Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2. Pages 703 - 704. https://doi.org/10.1145/3724389.373128297984007156931942-647Xhttp://hdl.handle.net/10292/19756Generative 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.Permission 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).35 Commerce, Management, Tourism and Services3507 Strategy, Management and Organisational Behaviour46 Information and Computing Sciences50 Philosophy and Religious Studies5001 Applied Ethics4608 Human-Centred ComputingBasic Behavioral and Social ScienceBehavioral and Social Science8.3 Policy, ethics, and research governance4 Quality EducationA Plan for an ACM Task Force Working Group Into the Ethical and Societal Impacts of Generative AI in Higher Computing EducationConference ContributionOpenAccess10.1145/3724389.3731282