Structure, Objectives, and Operational Framework for Ethical Integration of Artificial Intelligence in Educational

Authors

  • Ashish K Saxena https://orcid.org/0009-0002-1647-9266
  • Valeria García San Diego University for Integrative Studies
  • Dr. Md. Ruhul Amin Associate Professor, Dept. of Public administration, Comilla University, Kotbari, Comilla Bangladesh.
  • Juan Manuel Rojas Salazar Engineer and social media researcher, juanmasalazar.com
  • Dr. Sanjay Dey Assistant Professor, Department of Zoology, Ananda Mohan College, Kolkata

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies offers unprecedented opportunities for enhancing education but also raises complex ethical concerns. This study introduces the Ethical Observatory for AI in Education, an initiative aimed at addressing these challenges. Through a multidisciplinary approach, the observatory seeks to develop comprehensive ethical guidelines and policy frameworks for AI integration in educational settings, ensuring alignment with core educational values and societal expectations. The observatory aims to promote the ethical development and application of AI technologies in education by fostering an informed dialogue among educators, policymakers, and technologists. This work contributes to the field by outlining the structure, objectives, and operational framework of the Ethical Observatory, providing a strategic guide for stakeholders towards the responsible use of AI in education. The establishment of the observatory highlights the importance of ethical considerations in technological integration and sets a precedent for future research and policy development in the domain, aiming to ensure that AI enhances educational equity, inclusivity, and outcomes.

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Published

2023-02-25

How to Cite

Saxena, A. K., García, V., Amin, D. M. R., Salazar, J. M. R., & Dey, D. S. (2023). Structure, Objectives, and Operational Framework for Ethical Integration of Artificial Intelligence in Educational . Sage Science Review of Educational Technology, 6(1), 88–100. Retrieved from https://journals.sagescience.org/index.php/ssret/article/view/139