AI is increasingly being offered 'as a service' (AIaaS). This entails service providers offering customers access to pre-built AI models and services, for tasks such as object recognition, text translation, text-to-voice conversion, and facial recognition, to name a few. The offerings enable customers to easily integrate a range of powerful AI-driven capabilities into their applications. Customers access these models through the provider's APIs, sending particular data to which models are applied, the results of which returned. However, there are many situations in which the use of AI can be problematic. AIaaS services typically represent generic functionality, available 'at a click'. Providers may therefore, for reasons of reputation or responsibility, seek to ensure that the AIaaS services they offer are being used by customers for 'appropriate' purposes. This paper introduces and explores the concept whereby AIaaS providers uncover situations of possible service misuse by their customers. Illustrated through topical examples, we consider the technical usage patterns that could signal situations warranting scrutiny, and raise some of the legal and technical challenges of monitoring for misuse. In all, by introducing this concept, we indicate a potential area for further inquiry from a range of perspectives.
Development of the ChatGPT, Generative Artificial Intelligence and Natural Large Language Models for Accountable Reporting and Use (CANGARU) Guidelines
University of Southern California（南加州大学）；University of Oxford（牛津大学）
Prioritizing High-Consequence Biological Capabilities in Evaluations of Artificial Intelligence Models
Center for Health Security, Bloomberg School of Public Health, Johns Hopkins University（健康安全中心，公共卫生学院，约翰霍普金斯大学）；Department of Health Policy, Stanford School of Medicine, Stanford University（健康政策系，斯坦福医学院，斯坦福大学）；Department of Chemical Engineering, Carnegie Mellon University（化学工程系，卡内基梅隆大学）；Department of Chemistry, Carnegie Mellon University（化学系，卡内基梅隆大学）；Wilton E. Scott Institute for Energy Innovation, Carnegie Mellon University（威尔顿·E·斯科特能源创新研究所，卡内基梅隆大学）
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States
ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective
Institute of Data Science and Artificial Intelligence (DATAI), Universidad de Navarra（纳瓦拉大学数据科学与人工智能研究所）；Information Systems Department, University Center for Economic and Administrative Sciences (CUCEA), University of Guadalajara（瓜达拉哈拉大学经济与行政科学中心信息系统系）；Quantitative Methods Department, Universidad Pontificia Comillas（康普顿斯大学定量方法系）
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie
Department of English literature and language（英语文学与语言系）；St.Mary’s University of San Antonio（圣玛丽大学）；Foster School of Businesses（商学院）；University of Washington（华盛顿大学）；Department of Civil and Environmental Engineering（土木与环境工程系）；Florida International University（佛罗里达国际大学）；Department of Electrical Engineering and Computer Science（电气工程与计算机科学系）；Florida Atlantic University（佛罗里达Atlantic大学）
I would love this to be like an assistant, not the teacher: a voice of the customer perspective of what distance learning students want from an Artificial Intelligence Digital Assistant
The Institute of Educational Technology, The Open University（开放大学教育技术研究所）；Knowledge Media Institute, The Open University（开放大学知识媒体研究所）；Business Development Unit, The Open University（开放大学业务发展部）
False Sense of Security in Explainable Artificial Intelligence (XAI)
Institute of Informatics, University of Warsaw（华沙大学信息学研究所）；School of Law, Seoul National University（首尔国立大学法学院）；Dongin Law Group（东仁法律集团）；Wesang Co., Ltd.（Wesang有限公司）；Informatism LLC（Informatism有限责任公司）
An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
Kent State University（肯特州立大学）；Odette School of Business, University of Windsor（温莎大学奥黛特商学院）；Open University of Nigeria（尼日利亚开放大学）；Ibom International Center for Research and Scholarship（伊博姆国际研究与学术中心）
