🇦🇹 Austrian AI Learning Snapshot 2026, now open

AI is already shaping how children learn. We're working to guide it responsibly.

Protect thinking. Empower learning.Evidence-informed AI literacy guidance for schools, families, and policymakers.

Hands holding a glowing digital globe with learning icons, representing guided AI in education
AI Literacy
Responsible AI Use
Evidence-Based Guidance
Learning & Child Development
"AI was created for us to outsource our tasks, not outsource our thinking. It was meant to fuel our learning, not short-circuit it." — Sol Rashidi, TEDx · A principle at the heart of this initiative

AI could be the greatest equalizer in education, or the greatest divider. Which one depends on what we do today.

UNICEF is already using AI to adapt textbooks for children with dyslexia in days rather than months. The same technology is deepening digital divides for children without safe, guided access. The window to shape this is now.

Read more about the stakes

Four pillars of responsible AI in education

AI use in learning raises questions across four interconnected dimensions. Together, these pillars form a practical AI literacy framework grounded in real-world evidence.

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Learning

When does AI support understanding, and when does it replace the effort that creates it? We help learners and educators find that line.

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Safety

Helping children, families, and schools recognise risks, misinformation, data exposure, misuse, and navigate AI with confidence.

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Ethics

Rethinking authorship, originality, and academic integrity in an AI-supported world. What does it mean to truly learn something?

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Responsibility

Long-term developmental impacts, environmental considerations, and conscious use of AI, for this generation and the next.

We are scaling AI in education faster than we understand its impact.

A 2026 Stanford University review of over 800 studies on AI in K–12 education found that while AI tools can improve task performance, these gains do not always translate into deeper learning. In some cases, reliance on AI may reduce cognitive effort and undermine the processes essential to real knowledge retention.

There is still limited evidence on long-term outcomes, student wellbeing, and educational equity. This is the gap our work addresses.

See our research →
800+
Studies reviewed by Stanford on AI in K–12
20
With strong causal evidence, a striking gap
0
High-quality causal studies of student AI use in Austrian classrooms

Guidance for every part of the learning ecosystem

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Schools & Educators

Pilot workshops, teacher professional development, assessment redesign guidance, and school-level AI frameworks.

Our approach →
Mother and daughter exploring a tablet together on the sofa

Families & Parents

Practical workshops on how children are really using AI, and how to support safe, responsible use at home.

Our approach →
Father and daughter working together at a laptop

Institutions & Policy

Advisory support for education authorities, municipalities, and organisations navigating AI literacy requirements.

Get in touch →

Participate in the Austrian AI Learning Snapshot 2026

Help us build an independent evidence base on how students, parents, and teachers in Austria are navigating AI in education. Anonymous. 5–8 minutes. English & German.

Take part in the research Become a pilot school →