Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives

Jenna Bergdahl, Rita Latikka, Magdalena Celuch, Iina Savolainen, Eerik Soares Mantere, Nina Savela, Atte Oksanen

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
121 Downloads (Pure)

Abstract

Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore, it is crucial to understand individuals’ attitudes towards AI. This article investigated attitudes toward AI through two studies that are based on the self-determination theory and basic psychological needs (autonomy, competence, and relatedness). Study 1 used cross-sectional samples of adult populations aged 18–75 from Finland (N = 1,541), France (N = 1,561), Germany (N = 1,529), Ireland (N = 1,112), Italy (N = 1,530), and Poland (N = 1,533). Study 2 was based on a longitudinal two-wave sample of adults aged 18–80 from Finland (N = 828). Based on the robust regression analyses, Study 1 found that fulfillment of basic psychological needs was associated with higher AI positivity and lower AI negativity across Europe. According to the Study 2 results, based on hybrid multilevel regression models, autonomy and relatedness increased AI positivity and decreased AI negativity over time. The results provide robust evidence on the role of self-determination in attitudes towards AI. Self-determination is an important factor in AI acceptance and is becoming increasingly important considering the rapid development and adoption of AI solutions.

Original languageEnglish
Article number102013
JournalTelematics and Informatics
Volume82
DOIs
Publication statusPublished - Aug 2023
Publication typeA1 Journal article-refereed

Keywords

  • Artificial intelligence
  • Attitudes
  • Basic psychological needs
  • Self-determination theory

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications
  • Law
  • Electrical and Electronic Engineering

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