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All Journal INTERDISIPLIN: Journal of Qualitative and Quantitative Research
Achmad Solahudin
Jurusan Pendidikan Agama Islam, UIN Sunan Gunung Djati, Bandung, Indonesia
Religion Humanities Education Law, Crime, Criminology & Criminal Justice Social Sciences

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The Use of Artificial Intelligence (AI) and Challenges to the Authenticity of Thought in the Scientific Method Achmad Solahudin; Nisa Santiana; Harkat Hadi Saputra
INTERDISIPLIN: Journal of Qualitative and Quantitative Research Vol. 3 No. 4 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/interdisiplin.v3i4.160

Abstract

This research is motivated by the rapid integration of Artificial Intelligence (AI) within the academic ecosystem, which offers research efficiency but simultaneously triggers risks of cognitive degradation and scientific ethical crises. This study aims to evaluate the role of AI as a cognitive supporting tool and analyze the challenges to the authenticity of thinking across all stages of the scientific method. The study employs a multi-methodology approach integrating five systematic research methods: a Systematic Literature Review (SLR), explanatory quantitative surveys, comparative qualitative content analysis assisted by Natural Language Processing (NLP) semantic algorithms, controlled computational simulation experiments, and an explorative phenomenological case study. The results indicate that AI provenly functions as an effective supporting tool capable of exponentially reducing research bureaucracy and expanding big data analysis capabilities. However, empirical testing also confirms substantial risks, including cognitive offloading, disguised plagiarism, and the threat of pseudo-correlation due to the "black box" nature of advanced algorithms. In conclusion, AI shifts the scientific method from a traditional linear approach into an exponential data-driven cycle. Consequently, higher education institutions are recommended to immediately formulate strict AI governance regulations while maintaining the "human-in-the-loop" principle to preserve intellectual integrity.
Co-Authors Harkat Hadi Saputra Nisa Santiana