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Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education by Karran, A. J.; Charland, P.; Martineau, J-T.; de Arana, A. Ortiz de Guinea Lopez; Lesage, AM.; Senecal, S.; Leger, P-M. is a scholarly article available to read on EtoBox.

What is Multi-stakeholder Perspective on Responsible Artificial Intelligence and Acceptability in Education about?

This study investigates the acceptability of different artificial intelligence (AI) applications in education from a multi-stakeholder perspective, including students, teachers, and parents. Acknowledging the transformative potential of AI in education, it addresses concerns related to data privacy, AI agency, transparency, explainability and the ethical deployment of AI. Through a vignette methodology, participants were presented with four scenarios where AI's 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 available. The data collection comprising a final sample of 1198 multi-stakeholder participants was distributed through a partner institution and social media campaigns and focused on individual responses to four AI use cases. A mediation analysis of the data indicated that acceptance and trust in AI varies significantly across stakeholder groups. We found that the key mediators between high and low levels of AI's agency, transparency, and explainability, as w

Author

Karran, A. J.; Charland, P.; Martineau, J-T.; de Arana, A. Ortiz de Guinea Lopez; Lesage, AM.; Senecal, S.; Leger, P-M.

Published

2024

Language

EN