Ethical AI Shaping Scholarly Communication: Challenges and Opportunities

Abstract

In this robotic era, Artificial Intelligence (AI) is revolutionizing communication of scholarly research, because it offers new avenues for research efficiency and knowledge dissemination. The proliferation of journal and research articles concerning the design and application of AI reflects the growing recognition of the importance of responsible and ethical development of AI. This paper explores the ethical dimensions of AI in the communication of research, focusing on key areas like transparency, fairness, privacy, biases, and accountability. Through the comprehensive review of existing literature and multiple case studies, it is found that the AI algorithms posed ethical challenges in areas like peer review, citation analysis, plagiarism detection, and automated content generation. Furthermore, the present study discussed the implications of AI-driven decision-making systems on academic evaluation, promotion, and tenure processes. This paper proposed recommendations for promoting ethical AI scholarly communication by fostering awareness, dialogue, and collaboration among researchers, publishers, and institutions and tried to inform that responsible AI development depends on the drawing of principles and ethical frameworks and lastly ensure that rather than undermines the integrity and trustworthiness of scholarly communication, the AI enhances the quality of researcher i.e. promote the easiest ethical scholarly communication.