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Ethical principles for artificial intelligence in education

📅 Published: October 13, 2022 👤 Andy Nguyen, Ha Ngan Ngo, Yvonne Hong et al. 📖 Education and Information Technologies 📊 997 citations
AI-Generated Summary

The advancement of artificial intelligence in education (AIED) has the potential to transform the educational landscape and influence the role of all involved stakeholders. We discuss each principle and associated implications for relevant educational stakeholders, including students, teachers, technology developers, policymakers, and institutional decision-makers.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 In recent years, the applications of AIED have been gradually adopted to progress our understanding of students' learning and enhance learning performance and experience.
  • 2 However, the adoption of AIED has led to increasing ethical risks and concerns regarding several aspects such as personal data and learner autonomy.
  • 3 Despite the recent announcement of guidelines for ethical and trustworthy AIED, the debate revolves around the key principles underpinning ethical AIED.
Why It Matters

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category ⚙️ Engineering & Technology
Published Oct 13, 2022
Journal Education and Information Technologies
DOI 10.1007/s10639-022-11316-w
Citations 997
Authors Andy Nguyen, Ha Ngan Ngo, Yvonne Hong, Belle Dang, Bich‐Phuong Thi Nguyen