Artificial Intelligence in Academic Research at Bugema University: Transforming Methodologies and Ethical Considerations

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

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