20.500.12556/RUL-176037 Beyond algorethics addressing the ethical and anthropological challenges of AI recommender systems This paper examines the ethical and anthropological challenges posed by AI-driven recommender systems (RSs), which increasingly shape digital environments and social interactions. By curating personalized content, RSs do not merely reflect user preferences but actively construct experiences across social media, entertainment platforms, and e-commerce. Their influence raises concerns over privacy, autonomy, and mental well-being, while existing approaches such as “algorethics” – the effort to embed ethical principles into algorithmic design – remain insufficient. RSs inherently reduce human complexity to quantifiable profiles, exploit user vulnerabilities, and prioritize engagement over well-being. The paper advances a three-dimensional framework for human-centered RSs, integrating policies and regulation, interdisciplinary research, and education. These strategies are mutually reinforcing: research provides evidence for policy, policy enables safeguards and standards, and education equips users to engage critically. By connecting ethical reflection with governance and digital literacy, the paper argues that RSs can be reoriented to enhance autonomy and dignity rather than undermine them. recommender systems artificial intelligence algorethics digital ethics user autonomy human-centered approaches sistemi priporočanja umetna inteligenca algoretika digitalna etika avtonomija uporabnika človeško središčeni pristopi true false true Angleški jezik Slovenski jezik Članek v reviji 2025-11-19 08:36:43 2025-11-19 08:36:44 2025-12-17 04:03:38 0000-00-00 00:00:00 2025 0 0 13 str. 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 004.8:17 2373-6992 10.1080/23736992.2025.2584435 256469251 RAZ_Machidon_Octavian-Mihai_2025.pdf RAZ_Machidon_Octavian-Mihai_2025.pdf 1 B8E03B1E9BE3ACE5ECD278158DFBC8DD e9de95e09cf37284f3b20c5340359657ec7b5f2a61cdab4bbd95bcd63ec6ba53 8de4ca00-c51a-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=222090 https://www.tandfonline.com/doi/full/10.1080/23736992.2025.2584435 1 2616ef3b-c51a-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=222089 Fakulteta za računalništvo in informatiko 0 0 0