International Journal of Computational and Electronic Aspects in Engineering
Volume 7 · Issue 3 · July 2026 · pp. 84-88
Special Issue of National Conference on Emerging Innovative Trends in Computer Applications
Research Article · Peer Reviewed
Received: June 10, 2026 · Accepted: July 20, 2026 · Published: 31 July 2026
Open Access · CC BY 4.0

AI Ethics in Social Media Recommendation System

Ajay Nanwatkar*, Arpit Mendhule, Nikhil Anjankar, Vidhi Raut
Department of MCA, Suryodaya College of Engineering & Technology (SCET), Nagpur (MS), India.

*Corresponding author: ajay.nanwatkar10@gmail.com

Abstract

Artificial Intelligence (AI) is an important component of contemporary social media platforms as it enables recommendation systems that determine what users view. The primary objective of these recommendation systems is to improve user engagement by providing users with content according to their preferences and behavior. Nevertheless these systems also pose significant ethical concerns with respect to privacy, bias, transparency, misinformation and autonomy. This research paper examines the ethical issues associated with AI-based recommendation systems in social media platforms, their impact on society and the existing ethical frameworks and approaches.

Keywords

Artificial Intelligence Ethics Social Media Recommendation Systems Algorithmic Bias Privacy Transparency

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