La universidad en la caja negra: disputas institucionales en torno a la inclusión y la gestión algorítmica
DOI:
https://doi.org/10.32870/dse.v0i34.1712Abstract
The incorporation of artificial intelligence (AI) and algorithmic management in higher education institutions aims to improve operational efficiency and data-driven decision-making. However, its implementation presents significant challenges in terms of university inclusion. Through a critical review of the literature, it examines how AI and algorithmic management affect decision-making processes, institutional legitimacy, and organizational disputes around inclusion, considering issues such as educational commodification and algorithmic opacity. It argues that the adoption of algorithmic tools is not based solely on technical criteria but is shaped by normative pressures and the pursuit of institutional legitimacy. These dynamics can perpetuate exclusionary practices when academic and personal trajectories of students are not considered. In this context, it is proposed that institutional governance can offer an alternative framework to challenge the configuration of the university as an “algorithmic black box,” promoting a more transparent and inclusion-oriented form of management.
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