This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…

Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…

Although Artificial Intelligence (AI) is notable in education, the studies on its specific application in university science education are still incipient. At the same time, the research demonstrates a critical need to systematize AI pillars to provide a coherent and clear structure to guide the development, implementation, and understanding of…

This study analyzed how closely ChatGPT aligned with university IRB (institutional review board) decisions regarding which review category applies to research proposals. A literature review revealed that studies about IRBs mostly focus on ethical aspects of the process; this study offers additional insight into IRB administration. For this study,…

In the last decade, the fast technological and social transformations have been placing new demands on Higher Education (HE) systems to update their educational offers. Grounded in the broader discourse on the impact of such transformation on HE, this article relies on Text Mining (TM). We consider as a case study the Italian HE system, providing…

This article explores the implications of Generative AI in higher education institutions, focusing on its impact on academic integrity and educational policy. The study utilises qualitative methods and desk-based research to investigate the adoption of Generative Pre-Trained Transformer and similar programs within academic settings. While some…

There has been considerable debate around the ethical issues raised by data-driven technologies such as artificial intelligence. Ethical principles for the field have focused on the need to ensure that such technologies are used for good rather than harm, that they enshrine principles of social justice and fairness, that they protect privacy,…

The Association of Research Libraries (ARL) seeks to understand and engage the research library community and others in the research and learning ecosystem on the ethical implications of artificial intelligence (AI) in the context of knowledge production, dissemination, and preservation. Furthermore, it seeks to inform the adoption of AI in…

In the market discourses of technological disruption, higher education institutions have routinely been positioned in deficit models and of anachronistic approaches to teaching at odds with the types of educational futures being presented by commercial organisations. Predominantly, automation technologies in the form of artificial intelligence are…

As artificial intelligence (AI) continues to develop in its sophistication and integration into contemporary society, how well are educators preparing students to navigate this reality? Carnegie Mellon University (CMU) is harnessing the expertise of faculty members across campus to create innovative curricular offerings that expose students,…

Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…