Beyond algorethics : addressing the ethical and anthropological challenges of AI recommender systems

Machidon, Octavian-Mihai (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: recommender systems, artificial intelligence, algorethics, digital ethics, user autonomy, human-centered approaches
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: 13 str.
• PID: 20.500.12556/RUL-176037
• UDK: 004.8:17
• ISSN pri članku: 2373-6992
• DOI: 10.1080/23736992.2025.2584435
• COBISS.SI-ID: 256469251
• Datum objave v RUL: 19.11.2025

Gradivo je del revije

• Naslov: Journal of media ethics
• Založnik: Taylor & Francis Group
• ISSN: 2373-6992
• COBISS.SI-ID: 33771869

Licence

• Licenca: CC BY-ND 4.0, Creative Commons Priznanje avtorstva-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nd/4.0/deed.sl
• Opis: Licenca Creative Commons Brez predelav dovoljuje uporabnikom ponovno distribucijo dela, vendar ne v spremenjeni obliki. Zahtevana je navedba avtorstva.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: sistemi priporočanja, umetna inteligenca, algoretika, digitalna etika, avtonomija uporabnika, človeško središčeni pristopi