Generative AI (GenAI) presents societal and ethical challenges related to equity, academic integrity, bias, and data provenance. In this paper, we outline the goals, methodology and deliverables of their collaborative research, considering the ethical and societal impacts of GenAI in higher computing education. A systematic literature review that addresses a wide set of issues and topics covering the rapidly emerging technology of GenAI from the perspective of its ethical and societal impacts is presented. This paper then presents an evaluation of a broad international review of a set of university adoption, guidelines, and policies related to the use of GenAI and the implications for computing education. The Ethical and Societal Impacts-Framework (ESI-Framework), derived from the literature and policy review and evaluation, outlines the ethical and societal impacts of GenAI in computing education. This work synthesizes existing research and considers the implications for computing higher education. Educators, computing professionals and policy makers facing dilemmas related to the integration of GenAI in their respective contexts may use this framework to guide decision-making in the age of GenAI.

翻译：生成式人工智能（GenAI）在公平性、学术诚信、偏见和数据溯源等方面带来了社会与伦理挑战。本文基于对GenAI在高等计算教育中伦理与社会影响的考量，阐述了合作研究的目标、方法论与成果。我们通过系统性文献综述，从伦理与社会影响视角审视了快速兴起的GenAI技术所涉及的广泛议题。进而对全球多所高校关于GenAI使用的采纳情况、指导方针及政策进行了全面评估，并探讨其对计算教育的启示。基于文献与政策评析建立的伦理与社会影响框架（ESI-Framework），系统勾勒了GenAI在计算教育领域的伦理与社会影响图景。本研究整合了现有成果，并深入思考其对高等计算教育的意义。教育工作者、计算领域从业者及政策制定者在面对GenAI融入各自领域所产生的困境时，可借助此框架在GenAI时代指引决策路径。