Accountability and General Data Protection in the Light of Artificial Intelligence Recommender systems Abstract

Articles in Press

Document Type : Research Paper

Authors

1 Ph.D. Candidate of private Law, Islamic Azad University, rasht.iran

2 Associate Professor, Department of Law, Faculty of Literature and Humanities, University of Ilam, Ilam, Iran

10.22099/jls.2025.54260.5384

Abstract

Today, artificial intelligence (AI) recommender systems are recognized as key tools in e-commerce, digital content delivery, and social media platforms. These systems analyze user behavior and process personal data to provide personalized recommendations, enhancing user experience while increasing organizational profitability. However, the widespread use of AI in recommendation processes raises significant legal and ethical challenges, highlighting the need for accountability and compliance with data protection regulations, particularly the GDPR. Among these challenges is the principle of algorithmic discrimination, which emphasizes the prevention of unfair and biased decisions in automated systems. This study, employing a descriptive-analytical method, examines the implications of data collection and analysis, behavioral profiling, and precise targeting of recommendations, analyzing issues such as privacy violations and insufficient transparency in automated decisions. The aim of the article is to propose legal solutions and accountability strategies to enhance transparency, fairness, and protection of users’ rights in AI recommender systems......

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Journal of Legal Studies

Articles in Press, Accepted Manuscript
Available Online from 30 December 2025

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