Araştırma Yöntemlerinde Yapay Zekâ Araçlarının Etkisi

Abstract

This study aims to critically and theoretically examine the impact of artificial intelligence (AI) technologies on research methodologies. It argues that the integration of AI into research processes entails not merely a technical convenience but also epistemological, ethical, and normative transformations in the nature of knowledge production. Drawing on Habermas’s distinction between technical and practical rationality, Bourdieu’s theory of the scientific field, and Foucault’s analysis of knowledge and power, the study discusses how AI tools reshape scientific method. While acknowledging the benefits of AI such as speed, efficiency, and accessibility, the paper highlights key risks including the erosion of critical thinking, the weakening of researcher autonomy, and the obscuring of ethical responsibility. It is suggested that AI should not only be used as a tool, but also critically evaluated in terms of its influence on academic freedom and methodological integrity. In conclusion, AI-supported research practices must be reconsidered in alignment with the value-laden dimensions of the scientific method.