Abstract:
This study explored the transformative impact of Artificial Intelligence (AI)
on research methodologies at Bugema University, focusing on ethical
considerations associated with AI's integration. The problem stems from AI's
ability to enhance data analysis, predictive modelling, and task automation,
aligning with Sustainable Development Goals (SDGs). However, it raises
concerns such as algorithmic bias, data privacy, and the erosion of traditional
research skills. Using a qualitative case study approach, the research examines
AI adoption across various departments, involving in-depth interviews with
academic staff. Findings indicate that AI improves research efficiency and
quality but requires ongoing training to address technical challenges and
ethical concerns. AI's integration highlights the need for continuous skill
development, robust ethical guidelines, and interdisciplinary collaboration to
ensure the responsible and effective use of AI in academic research.
Recommendations include comprehensive AI training, the establishment of
ethical guidelines, and the promotion of collaborative approaches for
sustainable AI adoption in research practices.
