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Published:
Oct 20, 2025Keywords:
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Main Article Content
Historical Inquiry into the Transformative Role of Artificial Intelligence in Scientific Research Methodologies
Pontian Godfrey Okoth
Abstract
This study explores the historical development of AI-driven research methodologies, the role of these technologies in enhancing scientific inquiry, and the ethical and methodological challenges associated with their adoption. The study sought to trace the historical development of AI-driven research methodologies; assess the role of AI in enhancing data accuracy, predictive modelling, and interdisciplinary research collaborations; evaluate the ethical and methodological challenges associated with integrating AI into research; and propose strategies for the sustainable adoption of these technologies. Data were collected from the literature, oral histories, and archival sources. Analysis was conducted thematically and through content analysis. The findings reveal that while AI has improved research efficiency and predictive capabilities, historical patterns indicate persistent challenges in ethical oversight, data security, and the epistemological implications of machine-generated knowledge. The study underscores the necessity of regulatory frameworks, increased AI literacy among researchers, and hybrid models that integrate AI-driven analytics with human judgment.
