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Original Research | Computer Science | Volume 15 Issue 5, May 2026 | Pages: 1400 - 1405 | Saudi Arabia
Scientific Research Risks and Challenges in the Artificial Intelligence Era
Abstract: This study examines the ethical, methodological, and socio-structural risks associated with the increasing use of artificial intelligence in scientific research. As AI tools increasingly support data analysis, content generation, and research workflows, concerns regarding academic integrity, transparency, overreliance, and governance have become more significant. A quantitative cross-sectional survey was conducted among 50 graduate students and researchers from diverse disciplines using an online questionnaire. Descriptive statistics, chi-square analysis, and regression-based interpretation were used to assess perceptions of AI-related research risks. Findings indicate widespread concern regarding academic integrity, trustworthiness of AI-generated outputs, reduced critical thinking, and inadequate researcher awareness of AI limitations. Participants strongly supported human oversight and clearer institutional ethical frameworks. Familiarity with AI was associated with greater adoption, but also with stronger awareness of governance concerns. The study highlights that the central challenge is not AI adoption itself, but the absence of robust accountability mechanisms and ethical guidance. These findings support the development of institutional AI governance policies that promote responsible and transparent research use.
Keywords: Artificial intelligence, Scientific research, Research ethics, Academic integrity, Human oversight, Research governance, Generative AI
How to Cite?: Sultan Alsamaani, Mohammed Alshammasi, Turki Alrumaykhani, Abdulaziz Aladwani, Nasir Hassan, Bassam AlBassam, Mohammed Abdullah Al-Hagery, "Scientific Research Risks and Challenges in the Artificial Intelligence Era", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 1400-1405, https://www.ijsr.net/getabstract.php?paperid=SR26502181514, DOI: https://dx.dx.doi.org/10.21275/SR26502181514