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๐ŸŒ E.T.I.K.A.

โ€‹

Acronym: Ethical Technology Interactions in Kindergarten Applications

 

๐ŸŽฏ Focus Area

Child-rights-based and ethical framework for applying artificial intelligence in early childhood education. The aim is to provide decision-support tools for educators, developers, and parents that respect children's dignity, rights, and developmental needs.

 

๐Ÿงฉ Letter Breakdown

  • E – Ethical: Commitment to protecting human dignity and children's rights.

  • T – Technology: Critical and reflective analysis of AI systems used in early education.

  • I – Interactions: Understanding and supporting the quality of child–technology–adult relationships.

  • K – Kindergarten: A developmental approach tailored to the needs of children aged 3–7.

  • A – Applications: Responsible implementation and regulation in preschool environments.

 

๐Ÿงช Suggested Activities

  • Development of ethical guidelines and recommendations for AI developers, educators, and institutions.

  • Decision-support materials for parents and teachers (e.g., “Ask Yourself Before Introducing AI” checklists).

  • Privacy-awareness and digital responsibility resources written in child-friendly language.

 

๐ŸŒ‰ Conceptual Bridge to CHILDTECHLAB

E.T.I.K.A. anchors the ethical and child-rights foundation of the ChildTechLab ecosystem. It ensures that innovation is not only effective but also responsible and fair. It prioritizes child autonomy, informed consent, digital dignity, and data awareness.

 

๐Ÿ“š Key International References

  • Su, Y. (2023). Artificial Intelligence Literacy in Early Childhood Education. UNESCO Working Paper.

  • Deng, X. (2025). The Application of Artificial Intelligence in Early Childhood Education. Journal of Higher Education Research, 6(1), pp.67–84.

  • Qadir, J., Ali, A. & Ur Rehman, M.H. (2024). The False Promise of AI Ethics in Education Without Inclusive Frameworks. arXiv. https://arxiv.org/abs/2401.10929

  • Jobin, A., Ienca, M. & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), pp.389–399.

  • OECD/EC (2023). AI Literacy: Empowering Young Children for the Age of AI. OECD Education Working Papers, No. 281.

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