Literature Review: Ethical Perspectives in the Development of Artificial Intelligence and Recommender Systems

Sri Farida Utami; Hakkun Elmunsyah; Triyanna Widiyaningtyas

doi:10.31004/riggs.v5i1.4364

Authors

Sri Farida Utami Universitas Negeri Malang
Hakkun Elmunsyah Universitas Negeri Malang
Triyanna Widiyaningtyas Universitas Negeri Malang

DOI:

https://doi.org/10.31004/riggs.v5i1.4364

Keywords:

Ethic, Artificial Intelegence, Data Privacy, Recommendation System

Abstract

The development of Artificial Intelligence (AI) and recommendation systems has had a major impact on various digital service sectors, including social media, e-commerce, and healthcare. Although this technology offers efficiency and personalised services, its implementation also raises complex ethical challenges, such as privacy protection, algorithmic bias, and system accountability. This study aims to analyse ethical perspectives in the development of AI and recommendation systems through a literature review approach. The methods used include analysis of various scientific articles classified into several main ethical dimensions, namely data privacy and security, algorithmic fairness, social media and recommendation systems, digital communication, and educational and publication ethics. The results of the study show that issues of privacy, transparency, and the potential for user behaviour manipulation are dominant issues. Ethics in AI no longer functions solely as an individual value, but as the foundation of responsible and sustainable institutional governance.

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