The Future of Research Ethics in an AI-Driven World
Sudipta Shee1*
Abstract
This paper explores the evolving landscape of research ethics in the age of Artificial Intelligence (AI). The integration of AI tools across the research lifecycle offers significant benefits, from enhanced literature reviews and data analysis to improved writing and collaboration. However, this integration also introduces complex ethical challenges that necessitate careful consideration. This paper examines key ethical concerns arising from the use of AI in research, including bias and fairness in algorithms, the need for transparency and explainability, the transformation of informed consent, and the complexities of accountability and responsibility. Furthermore, it addresses issues related to data privacy and security, the potential for plagiarism, and the risk of AI-generated misinformation. Drawing upon existing literature, this paper underscores the importance of adapting traditional ethical frameworks and developing new guidelines to ensure the responsible and trustworthy application of AI in research. It emphasizes the need for researchers to be critically aware of these ethical implications and to adopt best practices that promote integrity and benefit society.
Keywords:
Research Ethics, Artificial Intelligence (AI), Algorithmic Bias, Transparency, Accountability, Data Privacy, Plagiarism
