Abstract
The rapid evolution of generative AI technologies has begun to reshape the academic landscape, offering innovative tools that allow researchers to improve both their workflow and the quality of their scholarly output. This paper explores how generative AI empowers academics to up-skill by streamlining tasks such as data analysis, literature review generation, and even drafting. By automating routine processes, academics can redirect their focus toward higher-level thinking, fostering creativity and innovation in research. The study also investigates the role of AI in enhancing collaboration across disciplines, providing scholars with adaptive learning platforms that promote continuous professional development. Additionally, we evaluate the ethical considerations surrounding the reliance on AI in academia, proposing frameworks to ensure that the integrity of human-led research is maintained while benefiting from AI’s capabilities. The findings suggest that by embracing AI, academics can significantly raise the bar in their research, contributing to a more competitive and intellectually vibrant academic community.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Generative AI, Academic Up-skilling, Research Automation, AI-driven Collaboration, Ethical AI
