Record STMT-W2798C3Advisory

Guidelines on the ethical use of artificial intelligence and data in teaching and learning

Guidelines Institutional policyEuropean Unionadopted

The European Commission's ethical guidelines provide practical support for primary and secondary school teachers and educational staff regarding the use of AI and data in teaching and learning. The updated guidelines help educators build confidence in making ethical decisions, enhance their skills while managing risks, and increase awareness of data and AI ethics in classroom settings. They include guiding questions, scenarios, core principles, legal context concerning the AI Act and GDPR, and an updated glossary.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

European CommissionGovernment (executive)

Lead issuer

Legal forceAdvisory

Under whose authorityInstitutional policy

Judged fromfull text

Who it governs

Professional groupAI deployers and usersResearchers and academics

Teachers and educational staff working mainly in primary and secondary levels of education who want to understand and engage in the ethical use of AI and data.

Sectors

Education · teaching and learningTelecommunications and digital services · artificial intelligence and data

What the document contains

What's covered

The document addresses the ethical, legal, and pedagogical questions raised by the use of AI and data in education. It provides practical tools, classroom scenarios, explanations of relevant regulations like the AI Act and GDPR, and definitions of AI and data terms.

What's missing

Not stated

Key takeaways

The guidelines offer practical support for primary and secondary educators on the ethical use of AI and data.
They help teachers build confidence, enhance digital skills, and increase ethical awareness in the classroom.
Content includes practical classroom scenarios, guiding questions, and explanations of the AI Act and GDPR.
An updated glossary provides clear definitions of AI and data terms relevant to educational practice.
Background resources supply technical definitions and reference frameworks for deeper study.

Principles it states

Responsible AI use

Outline

· Guiding questions and scenarios
· Core principles and legal context
· Updated glossary
· Background resources

Issued9 June 2026

Length464 words

FormatNot recorded

Scoperegional

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

1/5

Protection of personal data and private life

Core principles and legal context , including clear explanations of the AI Act, General Data Protection Regulation (GDPR)

What you will find in the guidelines

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

2/5

Required assessment of an AI system's risks/impacts before or during use

Watch and learn about the potential benefits and hidden risks of AI and data use in school.

How will the guidelines help in your teaching practice?

screening score · 2026-10-23

Topics

artificial_intelligence education ethics data_protection digital_literacy