AI in Higher Degree Research
AI in Higher Degree Research: Navigating the PhD Landscape in Australia
Conference
Format: Oral 20 Minutes
Topic: 6. Responsible Use of AI in Research Management
Abstract
The advent of artificial intelligence (AI) is reshaping the landscape of higher degree research (HDR), particularly within the PhD process. From sophisticated data analysis tools to AI-driven literature reviews, these technologies are increasingly becoming integral to the research journey. This presentation explores how AI tools and technologies are being integrated into HDR, highlighting both the potential benefits—such as increased efficiency and novel insights—and the risks that need to be managed, including ethical considerations, privacy, originality of work, and the potential for dependency on AI.
Current practices in Australian universities will be highlighted, showcasing examples of how AI is enhancing research methodologies, data analysis, and academic writing. Additionally, we will discuss concerns related to academic integrity, and the potential for AI to disrupt traditional research paradigms. The presentation will delve into how AI might affect the supervisor-candidate relationship, the development of critical thinking skills among PhD candidates, and how assessment might need to be adapted.
By providing a comprehensive overview of the Australian context, this session aims to inform research management professionals about the evolving role of AI in HDR. Participants will gain insights into emerging practices for supporting PhD candidates in the effective and ethical use of AI tools. The session will also address regulatory considerations, institutional policies, and the need for guidelines to ensure responsible AI usage in higher education.
Key points for the audience include:
• Understanding the current impact of AI on the PhD process in Australia.
• Identifying the benefits and risks associated with AI use in HDR.
• Gaining awareness of institutional responses and policies regarding AI.
• Developing strategies to support PhD candidates in navigating AI technologies ethically and effectively.
• Recognising the implications of AI on academic integrity and research ethics.