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Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education

  • Alexander John Karran
  • , Patrick Charland
  • , Joé Trempe-Martineau
  • , Ana Ortiz de Guinea Lopez de Arana
  • , Anne Marie Lesage
  • , Sylvain Sénécal
  • , Pierre Majorique Léger
  • HEC Montréal
  • Université du Québec à Montréal

Research output: Contribution to journal › Journal Article › peer-review

25 Citations (Scopus)

Abstract

Recognising a need to investigate the concerns and barriers to the acceptance of artificial intelligence (AI) in education, this study explores the acceptability of different AI applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI, it addresses concerns related to data privacy, AI agency, transparency, explainability, and ethical deployment of AI. Using a vignette methodology, participants were presented with four scenarios where AI agency, transparency, explainability, and privacy were manipulated. After each scenario, participants completed a survey that captured their perceptions of AI’s global utility, individual usefulness, justice, confidence, risk, and intention to use each scenario’s AI if it was available. The data collection, comprising a final sample of 1198 participants, focused on individual responses to four AI use cases. A mediation analysis of the data indicated that acceptance and trust in AI vary significantly across stakeholder groups and AI applications.

Original languageEnglish
Article number44
Journalnpj Science of Learning
Volume10
Issue number1
DOIs
Publication statusPublished - Dec 2025
Externally publishedYes

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