Resumo

CALIZAYA LOPEZ, José et al. Everyday Algorithms and Social Subjectivity: How Artificial Intelligence Reconfigures Human Decisions in Daily Life. Athenea [online]. 2026, vol.7, n.23, pp.41-53.  Epub 11-Abr-2026. ISSN 2737-6419.  https://doi.org/10.47460/athenea.v7i23.128.

This study analyzes how artificial intelligence algorithms embedded in everyday life influence human decision-making and the configuration of social subjectivity. A quantitative approach based on socio-technical simulation was adopted, using synthetic data and decision models to assess the impact of algorithmic personalization, exposure diversity, and system explainability. The results show that personalization systematically increases the likelihood of adherence to recommendations, reduces the structural diversity of the choice environment, and modulates subjective variables such as perceived agency and algorithmic dependence. Sensitivity analysis indicates that personalization acts as a highly sensitive parameter, generating predictable and stable changes in decision behavior. These findings confirm that everyday algorithms not only optimize decisions, but also progressively reshape the human decision-making experience.

Palavras-chave : everyday algorithms; social subjectivity; artificial intelligence; decision-making.

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