Using generative artificial intelligence to catalyse further interdisciplinarity across higher education

An international challenge, and opportunity, facing academics in these early decades of the 21st century is the inception of complex computational machines that are capable of imitating human-like learning and thinking; often described as Artificial Intelligence, or AI. One such form of AI is generative AI (GenAI), an algorithm capable of producing text, collages and other overviews of information and data gathered from multiple online sources. This offers challenges, such as students generating and submitting essays and reports from GenAI alone, but also opportunities, as a platform for further discussion and reflection as knowledge is uncovered and developed. Of particular interest is its capability in picking up information and data from multiple fields and presenting it in a digestible and interdisciplinary initial format, albeit it typically requiring further analysis, reflection, and modification. In response to this, a new AI-focused academic journal is proposed in this study, the drive being to enhance interdisciplinarity by bringing together postgraduate students and staff to research, explore, analyse, and critically reflect upon the challenges and opportunities that AI presents in their fields of study.