Navigating the Ethical and Societal Impacts of Generative AI in Higher Computing Education
Arizona State University（亚利桑那州立大学）；Makerere University（马凯雷雷大学）；Auckland University of Technology（奥克兰理工大学）；Eastern Institute of Technology（东部理工学院）；University of Glasgow（格拉斯哥大学）；University of Trento（特伦托大学）；Temple University（天普大学）；University of Exeter（埃克塞特大学）；University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校）；Monash University（蒙纳士大学）；University of Toronto（多伦多大学）
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Ha… 展开作者
Janice Mak, Joyce Nakatumba-Nabende, Tony Clear, Alison Clear, Ibrahim Albluwi, Oana Andrei, Lorenzo Angeli, Stephen MacNeil, Solomon Sunday Oyelere, Matthew Hale Rattigan, Judy Sheard, Tingting Zhu
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.
Navigating Ethical Challenges in Generative AI-Enhanced Research: The ETHICAL Framework for Responsible Generative AI Use
University of Southern Queensland（南昆士兰大学）；Monash University（莫纳什大学）；University of Technology Sydney（悉尼科技大学）；University of Newcastle（纽卡斯尔大学）；Edinburgh Napier University（爱丁堡龙比亚大学）；Central Queensland University（中央昆士兰大学）；Stellenbosch University（斯泰伦博斯大学）；University of Alberta（阿尔伯塔大学）；Griffith University（格里菲斯大学）；UCSI University（思特雅大学）；Edith Cowan University（伊迪斯科文大学）
Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies
Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study
Faculty of Information Technology, Monash University（墨尔本大学信息科技学院）；School of Science, Computing and Engineering Technologies, Swinburne University（斯威本大学科学与工程技术学院）；School of Information Technology, Deakin University（德肯大学信息科技学院）
Business and ethical concerns in domestic Conversational Generative AI-empowered multi-robot systems
University of Vaasa（瓦萨大学）；University of Arts London（伦敦艺术大学）；University of Jyväskylä（于韦斯屈莱大学）；University of Helsinki（赫尔辛基大学）；Free University of Bozen-Bolzano（博尔扎诺自由大学）；University of Tampere（坦佩雷大学）
Feeling Guilty Being a c(ai)borg: Navigating the Tensions Between Guilt and Empowerment in AI Use
KGSt - Kommunale Gemeinschaftsstelle für Verwaltungsmanagement, Germany（德国公共行政管理联合机构）；University of Siegen, Germany（德国施派堡大学）；Clausthal University of Technology, Germany（德国克莱斯特大学）
Position: We Need Responsible, Application-Driven (RAD) AI Research
Tech \& Policy Lab, Law School, University of Western Australia, Australia；College of Systems；Society, Australian National University, Australia；Centre for Business Research, University of Cambridge, United Kingdom
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
Canizaro Livingston Gulf States Center for Environmental Informatics, the University of New Orleans（新奥尔良大学）；Center for Geospatial Sciences, Naval Research Laboratory（海军研究实验室）；US Army Corps of Engineers, Engineer Research and Development Center（美国陆军工兵部工程师研究与发展中心）
Antisocial Analagous Behavior, Alignment and Human Impact of Google AI Systems: Evaluating through the lens of modified Antisocial Behavior Criteria by Human Interaction, Independent LLM Analysis, and AI Self-Reflection
Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact
Universidad de Sevilla（塞维利亚大学）；Institute of Biomedicine of Seville (IBIS)（塞维利亚生物医学研究所）；Royal Academy of Medicine and Surgery of Seville（塞维利亚皇家医学与外科学院）；Joint Research Center, European Commission（欧盟委员会联合研究中心）；Universitat Pompeu Fabra（庞培法布拉大学）；Hospital Universitario “Virgen del Rocio”（“罗西圣母”大学医院）；Center for Advanced Neurology (CNA)（高级神经病学中心）；Hospital Universitario “Virgen Macarena”（“马卡雷纳圣母”大学医院）；Instituto de Salud Carlos III (ISCIII)（卡洛斯三世卫生研究所）；College of Medicine, Universidad de Sevilla（塞维利亚大学医学院）；Hospital “VITHAS-NISA Sevilla”（塞维利亚VITHAS-NISA医院）；DINAC Foundation（DINAC基金会）
