Page 4 - Generative AI in Education

Frequently Asked Questions about

Generative AI in Education

How can generative AI be used ethically in educational settings?
To use generative AI ethically in education, it is essential that educational
leaders commit to establishing clear and transparent policies on its use.

This involves ensuring that the sources of information on which the AI s
i
based are known to avoid problems such as plagiarism or lack of precision.
It is also important to implement restrictions that prevent AI from accessing
sensitive or unethical information. Training faculty and staff on AI-related
topics, using practical examples, can promote more responsible use.

What are the potential ethical challenges when integrating AI into
education?
One of the biggest ethical challenges is controlling its use, since it can
lead to unfair decisions. Lack of clear regulation can lead to inappropriate
or unsafe use. There is a risk that AI will replace essential human aspects of
teaching, such as emotional support or mental health care. Additionally,
data privacy and equitable access to technology are important concerns.
The challenge is to harness the benefits of AI without losing sight of the

i
importance of human values n education.
How can AI enhance the role of teachers without replacing them?
AI can enhance the role of teachers by offering tools to personalize
learning and better manage the classroom. It can help identify the specific
needs of each student and offer resources tailored to those needs,
allowing teachers to focus on interacting directly with their students and
strengthening their relationships with them. By taking over certain tasks, AI
allows teachers to dedicate more time to teaching and emotionally
supporting students.

How can schools ensure transparency in the use of AI, especially in
decision-making processes?
Schools can ensure transparency by providing requirements such as
explainability, interpretability, and accountability. This involves disclosing
the experience, perspective, identities and origin of the information used. It
is also important to offer training on the educational applicability of AI to
the broader community to protect its ethical use, respect student rights
and copyright, and demonstrate a meaningful contribution to all.

What steps can be taken to address and mitigate bias in AI
systems used in education?
To mitigate biases in AI, it is crucial to educate the educational
community about the responsible use of AI, providing advice on
how to apply it in the educational process and how to identify what
is correct and legal. It is also important to work comprehensively
and jointly with teachers, students and parents to monitor AI
applications in general.

What are the implications of using static data versus
continuous updates in AI training methods?
Static Data:
Advantages: They provide a stable training environment, more
predictable results, and require fewer computational resources.
Continuous Data:
Advantages: They enable real-time adaptability, improve
accuracy by capturing the complexities of real-world data, and
keep models up to date with the latest trends.