Related Experiment Video
Updated: Jan 6, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
A Study of Academics' Perceptions of Ethical Implications of Generative Artificial Intelligence on Scientific
Perihan Elif Ekmekci1, Banu Buruk1,2, Başak Akar3
1TOBB ETU School of Medicine, History of Medicine and Ethics Department, Ankara, Turkey.
Abstract:
This study investigates how scientists, educators, and ethics committee members in Türkiye perceive the opportunities and risks posed by generative AI and the ethical implications for science and education. This study uses a 22-question survey developed by the EOSC-Future and RDA AIDV Working Group. The responses were gathered from 62 universities across 208 universities in Türkiye, with a completion rate of 98.4%. By capturing the diverse perspectives of key academic stakeholders, this study makes three significant contributions to the academic literature: 1) the responsible utilization of technologies such as generative AI depends not only on technological capabilities but also on the ethical conscientiousness of scientists. 2) it is crucial to use generative AI tools with critical human oversight to maintain scientific integrity. 3) Promoting a culture of ethical scholarly practice necessitates the standardization of responsible conduct of research and its integration into the training of scientists.
Related Concept Videos
Ethics in Research
Ethical Issues
Ethical Concerns in Healthcare:
Ethics and Bioethics
Non-equilibrium in the Cell
What is Genetic Engineering?
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
