ETHICAL CHALLENGES IN THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE CURRICULUM: LIMITS AND POTENTIAL OF THE TECHNOLOGY

Authors

  • Eder Lira UFES
  • Eliete Campana Dias Moreira Faculdades Integradas de Jacarepaguá
  • Gilce Helena Pianissola Rossi Faculdade Integrada de Jacarepaguá
  • Marlene Sebastiana Mazoco Faculdade de Administração, Ciências, Educação e Letras
  • Mônica de Souza Scopel Silva Facultad Interamericana de Ciencias Sociales
  • Rodrigo Rodrigues Pedra Facultad Interamericana de Ciencias Sociales
  • Rosimeri Cararo Facultad Interamericana de Ciencias Sociales
  • Silvanete Aparecida da Silva Conceição Faculdade de Venda Nova do Imigrante

DOI:

https://doi.org/10.51891/rease.v10i10.16449

Keywords:

AI Ethics. Teacher Training. Ethical Curriculum. Educational Technology. Responsible Innovation.

Abstract

This research analyzes the ethical obstacles in incorporating Artificial Intelligence (AI) into the study program and teacher training. The main goal is to examine how these components interrelate and affect each other, with the aim of assisting in the creation of ethical educational strategies in the digital age. Through an extensive literature review, the study identifies the challenges and opportunities arising from this integration, focusing on the requirement for a profound reformulation in teaching training and curriculum organization. The research highlights the relevance of cultivating a broad mindset in educators, which goes beyond simple technical training in Artificial Intelligence. She suggests a more fluid and integrated curriculum, in which ethical issues are a transversal component. The guidelines indicate a dynamic and ethically conscious educational future, with emphasis on collaborative learning networks focused on the ethics of Artificial Intelligence, the creation of specific ethical frameworks for education, in addition to the need to address topics such as privacy, equality and social effects of AI . The study concludes that the ethical incorporation of Artificial Intelligence in education requires a radical change in the conception and application of teaching and learning, effectively empowering future generations to face the ethical challenges of the world dominated by AI. The expectation is that the perspectives presented will significantly assist educators, educational administrators and public policy makers in creating an ethical, solid and relevant education system for the era of Artificial Intelligence.

Author Biographies

Eder Lira, UFES

Mestre em Geografia, Universidade Federal do Espírito Santo (Ufes).

Eliete Campana Dias Moreira, Faculdades Integradas de Jacarepaguá

Especialista em Orientação Educacional, Faculdades Integradas de Jacarepaguá (FIJ).

Gilce Helena Pianissola Rossi, Faculdade Integrada de Jacarepaguá

Especialista em Supervisão Escolar, Faculdade Integrada de Jacarepaguá (FIJ).

Marlene Sebastiana Mazoco, Faculdade de Administração, Ciências, Educação e Letras

Especialista em Educação Especial Inclusiva, Faculdade de Administração, Ciências, Educação e Letras (FACEL).

Mônica de Souza Scopel Silva, Facultad Interamericana de Ciencias Sociales

Mestranda em Ciências da Educação, Facultad Interamericana de Ciencias Sociales (FICS).

Rodrigo Rodrigues Pedra, Facultad Interamericana de Ciencias Sociales

Doutorando em Ciências da Educação, Facultad Interamericana de Ciencias Sociales (FICS).

Rosimeri Cararo, Facultad Interamericana de Ciencias Sociales

Mestranda em Ciências da Educação, Facultad Interamericana de Ciencias Sociales (FICS).

Silvanete Aparecida da Silva Conceição, Faculdade de Venda Nova do Imigrante

Especialista em Educação Especial, Faculdade de Venda Nova do Imigrante (FAVENI).

Published

2024-10-25

How to Cite

Lira, E., Moreira, E. C. D., Rossi, G. H. P., Mazoco, M. S., Silva, M. de S. S., Pedra, R. R., … Conceição, S. A. da S. (2024). ETHICAL CHALLENGES IN THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN THE CURRICULUM: LIMITS AND POTENTIAL OF THE TECHNOLOGY. Revista Ibero-Americana De Humanidades, Ciências E Educação, 10(10), 4564–4579. https://doi.org/10.51891/rease.v10i10.16449