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Supporting the technocracy of artificial intelligence: Data from a representative Spanish sample.

Eva Moreno-Bella1,2, Marcos Dono3, Miguel Moya2,4

  • 1Department of Social and Organizational Psychology, National University of Distance Education (UNED), Madrid, Spain.

Data in Brief
|June 11, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a dataset on Spanish public attitudes towards artificial intelligence (AI) technocracy, exploring its links to economic perceptions and political leanings. The data can inform AI governance strategies amid economic uncertainty.

Keywords:
Artificial intelligenceEconomic factorsOpen accessPolitical psychologySocioeconomic statusTechnocracy

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Area of Science:

  • Social Sciences
  • Political Science
  • Artificial Intelligence Studies

Background:

  • Generative AI advancements coincide with economic distress and political extremism.
  • Understanding public attitudes towards AI in governance is crucial in the current socio-political climate.

Purpose of the Study:

  • To present a novel dataset examining social and political attitudes in Spain concerning artificial intelligence (AI) technocracy.
  • To explore the relationship between economic perceptions and support for AI in governance.

Main Methods:

  • A dataset of 1,541 Spanish participants was collected via an online survey by a research company.
  • The sample was stratified by quotas to mirror the Spanish population distribution.
  • Data included support for AI technocracy, socioeconomic status, political orientation, economic threat/scarcity, and sociodemographic information.

Main Results:

  • The dataset captures diverse social and political attitudes related to AI technocracy.
  • It includes variables like perceived economic decline, inequality, and relative deprivation.
  • Data collection occurred during regional political elections in Spain.

Conclusions:

  • This dataset is the first to link AI technocracy support with social and political attitudes in contemporary societies.
  • It offers insights for addressing economic challenges and fostering trust in AI for governance.
  • The findings can inform data-driven policy and AI integration into governmental structures.