Five transitions of algorithmic governmentality in the composition of medical temporality

Five transitions of algorithmic governmentality in the composition of medical temporality

Authors

DOI:

https://doi.org/10.5027/psicoperspectivas-Vol24-Issue2-fulltext-3457

Keywords:

algorithmic governmentality, Artificial Intelligence, medicina, salud, tiempo

Abstract

Artificial Intelligence has permeated multiple social scenarios and medicine is no exception. It is part of the recent hopes articulated to address issues related to the temporality of their usual routines. In this paper we analyze five transformations that Artificial Intelligence integrates in the ordering of medical temporality, considering how this is articulated to modifications in the dynamics of power formulated by the notion of algorithmic governmentality. To this end, we rely on a study of the health system in Chile, which considers the development of a multi-sited ethnography based on ministerial scenarios and public and private clinical care. We have produced information through focused ethnographies, news analysis and in-depth interviews with experts and professionals, and configured results based on abductive analysis. The five transitions described consider the algorithmic, iterative, itinerant, interstitial and organismic character of the temporality constituted by scenarios in which Artificial Intelligence participates. We conclude by taking up the link between these transformations in the apprehension of algorithmic governmentality for the medical field.

Author Biographies

Jorge Castillo-Sepúlveda, Universidad de Santiago de Chile

Psicólogo por la Universidad de Santiago de Chile, Máster en Investigación en Psicología Social y Doctor en Psicología Social por la Universitat Autònoma de Barcelona. Académico en la Escuela de Psicología de la Universidad de Santiago de Chile, y miembro de la European Association for the Study of Science and Technology (EASST), la Society for Social Studies of Science (4S) y la Red de Estudios de Ciencia, Tecnología y Sociedad (CTS) de Chile. Ha participado como Investigador Responsable y como Coinvestigador en diversos proyectos que articulan la salud, la medicina, el espacio, la materialidad y el tiempo, particularmente desde la perspectiva de la Teoría del Actor-Red. Ha publicado en diversos libros y revistas nacionales e internacionales, que consideran Social Studies of Science, Athenea Digital, Saúde e Sociedade, entre otras.

José Antonio Román, Universidad Tecnológica Metropolitana

Psicólogo por la Pontificia Universidad Católica de Chile, Máster y Doctor en Psicología Social, por la Universidad Autónoma de Barcelona. Actualmente es Académico Regular del Departamento de Trabajo Social, Facultad de Humanidades y Tecnologías de la Comunicación Social, e Investigador del Instituto Universitario de Investigación y Desarrollo Tecnológico (IDT) en Universidad Tecnológica Metropolitana. Ha sido investigador responsable y coinvestigador integrando equipos multisciplinarios tanto en proyectos de nacionales como internacionales. Dentro de sus trabajos recientes figuran publicaciones en Qualitative Sociology, Polis y Quaderns de Psicologia, entre otras.

Diego Gilabert, Universidad de Chile

Licenciado en Antropología Social, por la Universidad de Chile, y estudiante en el programa de Magíster en Antropología Sociocultural de la Universidad de Chile.

Ambar Angel Toledo, Universidad Alberto Hurtado

Licenciada en Antropología Social por la Universidad de Chile y estudiante del Magíster en Ciencia, Tecnología y Sociedad (CTS) de la Universidad Alberto Hurtado. Actualmente se desempeña como personal técnico y asistente de investigación en distintos proyectos FONDECYT.

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Published

2025-07-15 — Updated on 2025-07-15

Versions

How to Cite

Castillo-Sepúlveda, J., Román, J. A., Gilabert, D., & Angel Toledo, A. (2025). Five transitions of algorithmic governmentality in the composition of medical temporality. Psicoperspectivas, 24(2). https://doi.org/10.5027/psicoperspectivas-Vol24-Issue2-fulltext-3457
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