Guidelines for introducing artificial intelligence into the educational environment

4. Guidelines for the introduction of artificial intelligence (AI) in education for all educational stakeholders

The introduction of artificial intelligence in education requires a systematic, strategic, and coordinated approach at the institutional level. This process extends beyond individual teacher initiatives and involves cooperation among administration, technical teams, pedagogical advisors, professional services, and teachers.

To ensure the sustainable and ethical integration of artificial intelligence into the educational process, the following guidelines are recommended.

1. Define the Vision and Goals for AI Application

The institution should clearly define the strategic goals and purpose of applying artificial intelligence in education, aligned with its mission and digital transformation policies. The vision should focus on improving the quality of learning, accessibility, and efficiency of the educational process, while preserving human values, ethics, and inclusiveness.

2. Form Multidisciplinary Implementation Teams

A successful AI application requires forming multidisciplinary teams that include:

• Teachers and instructors (as pedagogical experts and end users)
• IT and technical experts
• Data and information security experts
• Legal and ethics advisors
• Professional student support services.

Collaboration within these teams ensures a balanced approach to technology, pedagogy, and ethics, reducing the risk of fragmented or superficial implementation.

3. Provide Professional Support and Continuing Education

Institutions should offer systematic education and training programmes for teachers and other stakeholders, focused on understanding the possibilities, limitations, and risks of applying AI in education.

These programmes should align with international guidelines, such as the UNESCO Recommendations on Artificial Intelligence in Education (2021) and the Digital Competence Framework for Teachers (DigCompEdu).

Continuous training is essential to strengthen AI competencies and to develop pedagogical reflection on when, why, and how to use technology.

4. Select and Test Appropriate AI Tools

Before widespread implementation, AI tools should be tested in controlled conditions, and their pedagogical value, safety, and ethical acceptability assessed.

The institution should develop protocols for selecting tools that include criteria such as transparency, availability, accessibility, and regulatory compliance.

5. Ensure Ethical and Legal Compliance

All AI tools and systems must comply with relevant European and national regulations, including:

• General Data Protection Regulation (GDPR)
• EU AI Act
• National regulations on copyright, academic integrity, and digital security.

Institutions should promote transparency, fairness, and accountability in the use of AI and establish ethics committees or commissions to oversee the application of technology in the educational context.

6. Integrate AI into Curriculum and Teaching Practice

AI should be both a tool and a topic of learning. Institutions should include content on AI in their curricula so that students develop an understanding of its operation, possibilities, and ethical limitations. At the same time, AI can serve as pedagogical support through adaptive systems, personalised progress monitoring, automated assessment, and predictive analytics.

It is crucial to ensure that all applications retain pedagogical value and human supervision.

7. Monitor, Evaluate, and Improve Application

Institutions should establish mechanisms to monitor the effects of AI application, including collecting feedback from teachers and students, analysing pedagogical outcomes, and conducting ethical evaluations. Evaluation results should be used to continuously improve practice and adapt institutional policies to new knowledge and needs.

This approach ensures that the application of AI in education remains a dynamic, reflective, and responsible process, rather than a one-time innovation.

These recommendations are based on UNESCO and European Commission guidelines for the responsible use of artificial intelligence in education.