Page 3 - Generative AI in Education

PERSPECTIVES ON

GENERATIVE AI IN

EDUCATION

Generative artificial intelligence (AI) is emerging as a powerful tool in
education, promising to transform the way we teach and learn.
However, its integration is not without challenges, especially in terms
of ethics, transparency and equity. This review offers a critical
perspective on these aspects, highlighting the key implications and
considerations for their effective implementation, in order to maximize

their benefits without compromising the fundamental values of
education.
The use of AI in education can revolutionize teaching and learning
One of the main ethical challenges is ensuring that AI is used fairly and methods, but this transformation must be carried out with an approach
responsibly. The lack of clear regulation can lead to unfair decisions focused on ethics and transparency. Collaboration between humans
and inappropriate use of technology. For example, implementing AI in and machines has the potential to profoundly enrich the educational
educational systems without adequate oversight could exacerbate process, as long as the well-being of students is prioritized and

existing inequalities or introduce biases into teaching and assessment fundamental human values are respected. Thus, AI can become a
processes. Furthermore, there is a risk that AI will replace essential powerful ally to promote more equitable, inclusive and personalized
human aspects of teaching, such as emotional support and mental learning.
health care. This underscores the need for educational leaders to
establish clear and transparent policies that guide its use, ensuring
that AI complements, rather than replaces, the crucial role of teachers Key Takeaways
in the classroom.
Ethics and Transparency:
Transparency plays an essential role in the ethical and effective
integration of AI in the educational environment. Both teachers and The ethical and transparent implementation of AI is essential to its
students must understand how and why these technologies are used, success in education.
as well as the sources of information on which they are based. This
knowledge not only helps prevent plagiarism and encourage critical Human Collaboration and Support:
thinking, but also strengthens confidence in using AI. Likewise, it is AI should complement, not replace, the human role in education.
necessary to address the biases present in AI systems, which can
negatively impact the learning experience of certain groups of Bias Mitigation:
students. To mitigate these risks, it is crucial to educate the entire Addressing and mitigating biases in AI systems is critical to ensuring
academic community about the responsible use of these tools and equitable and inclusive education.
establish controls that guarantee their impartiality.

Beyond the challenges, AI has enormous potential to enrich the
educational environment. By offering tools to personalize learning and
more efficiently manage classroom dynamics, you can significantly
improve the role of teachers. However, to take advantage of these
opportunities, it is essential that AI tools are accessible, inclusive and
designed in a way that is consistent with educational objectives.
Educators, far from being replaced, must be trained to collaborate
with these technologies, integrating them in ways that strengthen their
pedagogical capabilities and their impact on students.