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How AI Shapes Public Sentiment on Agency, Parametric Reductionism and Digital Expression [abstract]
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Orientador(es)
Resumo(s)
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.
Palavras-chave
parametric reduction agency transference topic modelling sentiment analysis