The European Parliament's ratification of the Artificial Intelligence Act in March 2024 represents a crucial step in regulating AI technologies. Aimed at mitigating risks, enhancing opportunities, and promoting transparency and democratic values, the Act targets AI practices with potential societal implications. Notably, it imposes strict risk assessment processes, particularly on high-risk systems like recommendation systems. These systems permeate various aspects of modern life, influencing everything from entertainment to politics. Operating by collecting personal data to generate personalized suggestions, they raise concerns about privacy, discrimination, and manipulation. This paper examines the literature to explore the risks posed by recommendation systems, explores challenges, and highlights regulations initiatives.
Recommendation Systems: Issues, Challenges and Regulations / Furini, M.. - (2024), pp. 1-6. (Intervento presentato al convegno 29th IEEE Symposium on Computers and Communications, ISCC 2024 tenutosi a Paris nel 26-29 Giugno 2024) [10.1109/ISCC61673.2024.10733684].
Recommendation Systems: Issues, Challenges and Regulations
Furini M.
2024
Abstract
The European Parliament's ratification of the Artificial Intelligence Act in March 2024 represents a crucial step in regulating AI technologies. Aimed at mitigating risks, enhancing opportunities, and promoting transparency and democratic values, the Act targets AI practices with potential societal implications. Notably, it imposes strict risk assessment processes, particularly on high-risk systems like recommendation systems. These systems permeate various aspects of modern life, influencing everything from entertainment to politics. Operating by collecting personal data to generate personalized suggestions, they raise concerns about privacy, discrimination, and manipulation. This paper examines the literature to explore the risks posed by recommendation systems, explores challenges, and highlights regulations initiatives.Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris