Podrobno

AI embedded bias on social platforms
ID Gorenc, Nina (Avtor)

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Izvleček
AI-based social platforms pervade our lives, filter the information wereceive and influence our choices. Despite their significant role, theinner workings of these AI systems remain largely opaque to mostusers. We seem to implicitly trust the platforms and share personalinformation without much restraint, mistakenly viewing algorithmsas neutral mathematical entities, and overlooking the potentialharms AI systems can cause to individuals and the society. Youngpeople, as the primary users of these platforms, believe theirfamiliarity with the platforms is equivalent to their understandingof AI, whereas their behaviour often reveals the opposite.The present article challenges the perceived objectivity ofalgorithm-based AI systems on social platforms and probes intostudents’ ability to recognize AI embedded biases and tounderstand their impact on social learning. The study reviewsrelevant literature and analyses survey data gathered from thestudents of social sciences at the University of Ljubljana andSapienza, the University of Rome.Our goal is to place the debate on AI in a broader contextuallandscape of our daily life, and to emphasize the importance ofrecognizing the hidden biases of AI and actively working to mitigatethem by making informed decisions and adjusting our behaviour.

Jezik:Angleški jezik
Ključne besede:AI bias, social platforms, algorithm, predictive analytics
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FDV - Fakulteta za družbene vede
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Datum objave:16.04.2025
Leto izida:2025
Št. strani:Str. 317-336
Številčenje:Vol. 35, no. 2
PID:20.500.12556/RUL-179398 Povezava se odpre v novem oknu
UDK:004.8:077.5
ISSN pri članku:0390-6701
DOI:10.1080/03906701.2025.2489056 Povezava se odpre v novem oknu
COBISS.SI-ID:268306435 Povezava se odpre v novem oknu
Datum objave v RUL:12.02.2026
Število ogledov:36
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Revue internationale de sociologie
Skrajšan naslov:Rev. int. sociol.
Založnik:Casa Editrice Leo Olschki
ISSN:0390-6701
COBISS.SI-ID:26310912 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

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