Impact Factor : 6.225 
PAPER ID:IJIM/Vol. 10 (X)February/97-110 /12
AUTHOR: Dr. Prashant
TITLE : AI ETHICS IN ACADEMIC SOCIAL NETWORKS: INFORMATION LITERACY AND NON-TECHNICAL OUTPUT SHARING
ABSTRACT:The integration of artificial intelligence features into Academic Social Networking Sites (ASNS) has fundamentally transformed scholarly communication practices, yet little is known about how researchers navigate the ethical complexities of AI-augmented sharing of non-technical research outputs. This study investigates the relationship between AI literacy and ethical awareness among researchers sharing datasets, software, protocols, and supplementary materials on platforms including ResearchGate, Academia.edu, and Mendeley. Employing a mixed-methods approach, we surveyed 425 researchers across disciplines and conducted 35 semi-structured interviews to examine current practices, challenges, and perceptions. Results reveal a significant literacy-awareness gap, with researchers demonstrating moderate AI literacy (M = 58.4%) but lower ethical awareness regarding data privacy (M = 52.1%) and intellectual property implications (M = 48.7%). Correlation analysis identified strong relationships between platform trust and sharing behavior (r = 0.72, p < 0.001), while regression modeling revealed that AI literacy scores significantly predicted ethical decision-making (β = 0.45, p < 0.001). The study proposes an integrated AI-Ethical Literacy Framework encompassing awareness, skills, behavior, and advocacy domains. Findings have implications for information professionals developing training programs, platform designers implementing ethical AI features, and policymakers establishing guidelines for responsible scholarly communication in the AI era.
KEYWORDS: Artificial Intelligence, Academic Social Networks, Information Literacy, Information Ethics, Non-Technical Research Outputs, Scholarly Communication, Research Data Sharing, AI Literacy.