How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]

Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/187423

Título:	How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]
Autor:	Moutinho, Rodrigo Asfora Rohden , Simoni F. Pinto, Diego Costa
Palavras-chave:	parametric reduction agency transference topic modelling sentiment analysis
Data:	Jul-2025
Resumo:	Artificial Intelligence (AI) has traditionally enabled data-driven decisions in different industries. Recently, have begun to incorporate intuitive and emphatic function, shifting from a business tool into a mainstream consumer technology (Flavián & Casaló, 2021; Huang & Rust 2018). To guide this investigation, we pose the following research questions: (1) How are societal constraints imposed by AI represented in public discourse, drawing from Valenzuela et al.'s (2024) AI Constraints Framework? (2) How do sentiment and topic patterns reflect concerns around agency, reductionism, and digital expression?
Descrição:	Moutinho, R. A., Rohden , S. F., & Pinto, D. C. (2025). How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]. 162-166. Abstract from AIRSI 2025, Zaragoza, Spain.
Peer review:	yes
URI:	http://hdl.handle.net/10362/187423
Aparece nas colecções:	NIMS: MagIC - Documentos de conferências internacionais

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Ficheiro	Descrição	Tamanho	Formato
AI_public_sentiment_agency_parametric_reductionism_digital_expression.pdf		1,52 MB	Adobe PDF	Ver/Abrir