Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Between Technical Assistance and Authorship: Researchers’ Ethical considerations of Using Generative AI for Scientific Writing
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Scientific writing is essential for sharing research findings, yet it poses significant challenges due to the need for precision, clarity, and adherence to strict standards. Generative AI (GenAI) tools, such as ChatGPT, have emerged as potential aid in this process, offering capabilities in linguistic editing, translation, and summarization. However, the integration of GenAI in academic writing raises ethical concerns regarding plagiarism, data fabrication, authorship and the preservation of the researcher’s original voice. This study empirically investigates researchers' ethical considerations regarding the use of generative AI in scientific writing. Through a survey of 102 researchers and research students in Israeli academia, the study explores the perceived ethical boundaries and conditions for appropriate GenAI use. Findings indicate that while GenAI can be beneficial for technical tasks, its role in content creation remains contentious. Transparency, critical evaluation of GenAI outputs, and maintaining originality are highlighted as essential conditions for ethical AI integration.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.