نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری حقوق خصوصی ،واحد رشت،دانشگاه آزاد اسلامی،رشت،ایران
2 دانشیار گروه حقوق خصوصی، دانشکدۀ ادبیات و علوم انسانی، دانشگاه ایلام
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
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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کلیدواژهها [English]
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