AI Leap Risk Assessment

AI Leap Risk Assessment

This page provides an overview of an independent assessment conducted by the Centre for Ethics, University of Tartu, examining the risks associated with the AI Leap educational programme and learning application. The assessment helps identify potential risks and areas requiring attention at an early stage and strengthen measures to ensure that the use of AI supports learning, teaching and the values of Estonian education.

Why is an independent risk assessment needed?

The risk scenarios are not predictions that the described impacts will necessarily materialise. They help assess the programme’s potential impacts, identify areas requiring attention at an early stage and support informed decisions while the programme is still being developed.

The assessment treats the learning application as part of a broader sociotechnical system that includes not only technology, but also teaching practices, school culture, human relationships, data use, technology partners and public responsibility.

Mitigating the risks requires cooperation between AI Leap, schools, the state, research institutions, technology partners and families. As AI and its potential uses evolve rapidly, the risks, existing measures and the programme’s impact must be reassessed regularly.

The assessment was conducted by a working group of the Centre for Ethics, University of Tartu, and commissioned by the AI Leap Foundation between 22 January and 30 June 2026.

Why is an independent risk assessment needed?

Analüüsi koostaja

Projekti “TI-Hüppe õpirakenduse ja haridusprogrammi eetiliste, hariduslike, sotsiaalsete, õiguslike ja tehnoloogiliste riskide ning väärtusvalikute analüüs” viis läbi Tartu Ülikooli eetikakeskuse töörühm Sihtasutuse TI-Hüpe tellimusel ajavahemikul 22. jaanuarist kuni 30. juunini 2026.

Töörühma tööd juhtisid Tartu Ülikooli eetikakeskuse juhataja ja praktilise filosoofia professor Margit Sutrop ning eetikakeskuse tehisintellekti eetika spetsialist Katrin Laas-Mikko (Tartu Ülikool, SK ID Solutions AS).

Ekspertidena olid kaasatud AS Cybernetica teadusdirektor Dan Bogdanov ja vanemteadur Liina Kamm, Euroopa Komisjoni tehisintellekti büroo õigus- ja poliitikanõunik Henrik Trasberg ning Tartu Ülikooli meediauuringute professor Andra Siibak.

Kuidas riskianalüüs koostati?

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1. Programmi kaardistamine

Töörühm analüüsis programmi, õpirakendust ja seotud dokumente ning intervjueeris TI-Hüppe võtmeisikuid. Vaadeldi nii tehnoloogiat, õpetamist, koolikultuuri kui ka andmekasutust ja juhtimist.

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2. Riskide hindamine

Eksperdid hindasid võimalike riskide tekkepõhjuseid, tagajärgi ning mõju hariduse eesmärkidele ja eetilistele väärtustele.

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3. Kaitsemeetmete kavandamine

Iga riski puhul kirjeldati olemasolevaid ja täiendavaid kaitsemeetmeid ning osapooli, kes vastutavad nende rakendamise eest.

Raporti peamised soovitused

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Lähtuda TI-Hüppe hindamisel hariduse eesmärkidest.

Õpirakenduse kasutamist tuleb hinnata selle järgi, kas see toetab õppija terviklikku arengut, sügavat õppimist, õpetaja professionaalsust ning Eesti hariduse väärtusi ja eesmärke.

"Artificial Intelligence may provide answers, but schools must teach students how to determine whether an answer is correct and what to do with it. AI must support, not replace, the human learning relationship. AI Leap gives us an opportunity to rethink what Estonian schools teach, how they teach it and for what purpose."

Margit Sutrop

Head of the Centre for Ethics, University of Tartu, and Head of the Risk Assessment Working Group

Three risk areas

The assessment identifies 12 risks that must be considered when using AI in education. They are grouped into three areas.

1. Educational risks

How does AI affect educational goals, the reliability of assessment, the teacher’s role and schools’ capacity to act?

2. Societal risks

How does AI affect the Estonian language and culture, shared societal values and human interaction?

3. Technology and governance risks

How can we ensure data protection, operational continuity, control over costs and Estonia’s educational self-determination?

Explore the main risks and existing measures

1. Does the use of AI in teaching support the goals of Estonian education?

Risk

The AI Leap programme and the AI-based learning application may not sufficiently support the agreed goals of Estonian education, general competences and students’ holistic development.

Existing measures

The pedagogical principles of the learning application have been developed in cooperation with Estonian education researchers, and a long-term study has been commissioned to assess its impact. The programme emphasises meaningful learning and the development of critical AI literacy.

2. Will assessment remain reliable?

Risk

The use of artificial intelligence may undermine the reliability of assessment and the culture of honest learning.

Existing measures

AI Leap supports schools in establishing common principles for AI use and teachers in reconsidering assessment so that greater attention is given to the learning process. The learning application supports learning; it is not used to assess students.

3. Does the teacher remain in charge of the learning process?

Risk

The use of the learning application may weaken the teacher’s pedagogical leadership and the teacher–student relationship.

Existing measures

The programme primarily consists of training and seminars that develop teachers’ knowledge and practical skills in using AI. The programme explicitly places teachers at the centre: the learning application supports a teacher-led learning process and does not replace teachers’ pedagogical judgement or feedback.

4. Can teachers implement the changes?

Risk

The use of the learning application may increase teachers’ perceived workload and change fatigue and reduce their capacity to implement change.

Existing measures

In addition to training, AI Leap supports the establishment of learning circles, collaborative professional learning and the sharing of experience in schools, so that AI use reflects schools’ actual needs. Subject-specific sample materials are also being developed, and good practices are being collected and shared.

5. Can schools govern the use of artificial intelligence?

Risk

Schools may have limited means and control to fulfil the legal obligations associated with using the learning application and to protect the rights of students and teachers.

Existing measures

The roles of the parties, terms of use and data-processing conditions are set out in agreements between the AI Leap Foundation, technology providers and schools. Schools do not have to address these matters alone. The Foundation has conducted a data protection impact assessment and provides schools with training, guidance materials and technical support.

6. Does the AI-based learning application support the Estonian language and culture?

Risk

The learning application may not be sufficiently grounded in the Estonian curriculum, Estonian-language learning resources and cultural context, and may thereby threaten the sustainability of the Estonian language and culture.

Existing measures

Cooperation with the Institute of the Estonian Language includes evaluating the learning application’s conformity with Estonian-language and cultural criteria and improving the availability of Estonian-language material to large language models.

7. Does AI mediate values consistent with shared societal values in Estonia?

Risk

An AI-based learning application controlled by an external service provider may mediate values that conflict with the fundamental values of the Estonian state.

Existing measures

Developing critical AI literacy is one of the programme’s central aims. Training materials and teacher learning circles emphasise that AI outputs are not value-neutral and should be critically evaluated together with the teacher.

8. Does AI change the relationship between humans and technology and what it means to be human?

Risk

Widespread use of AI-based learning applications may foster the anthropomorphisation of AI and students’ disengagement from human social interaction.

Existing measures

The learning application is intended primarily for teaching and learning, and training emphasises that it is a tool with limited capabilities. Many schools have internal rules governing the use of learning tools and technology.

9. Are students’ and teachers’ data protected?

Risk

Data entered by students and teachers into the learning application, or generated through its use, may become accessible to unauthorised persons or be used contrary to the rights and interests of the persons concerned.

Existing measures

All parties involved in the data-processing chain apply data-protection and cybersecurity measures, including access controls. Data-processing conditions and the responsibilities of the parties are set out in agreements. The user interface warns users not to enter sensitive information or personal data.

10. Will the AI-based learning application remain affordable for the state?

Risk

A price increase by a service or infrastructure provider supporting the AI-based learning application may make the solution burdensome for the state budget.

Existing measures

The initial technical implementation of the learning application has been kept relatively simple, and provider-specific solutions that would make switching providers expensive or difficult have been avoided.

11. Will education continue to function if the AI-based learning application becomes unavailable?

Risk

A disruption to a service supporting the AI-based learning application may interfere with teaching and impede education.

Existing measures

Use of the learning application is not a compulsory or critical part of teaching and learning. Education can continue if the service becomes unavailable. AI Leap also provides users with technical support when necessary.

12. Can Estonia create a trustworthy AI-based learning application?

Risk

An AI-based learning application built using Estonia’s own competences and infrastructure may be lower in quality or security than a solution based on a foreign cloud service.

Existing measures

The solutions currently in use rely on services provided by the world’s leading large language model developers, whose quality and security have been subject to international audits.

Read the full report

Download the report | PDF · 103 pages · August 2026

AI Leap Risk and Value Analysis

More information

Vaata lisaks

Vaata ka seminari „Tehisaru hariduses: võimalused ja väljakutsed“ salvestust. Riigikogu kõrghariduse toetusrühma ja Tartu Ülikooli eetikakeskuse korraldatud seminaril arutleti tehisaru mõju üle õppimisele ja õpetamisele, sellega seotud võimaluste ja riskide üle ning tehisaru rolli üle Eesti hariduse tulevikus.

Tehisaru mõjust haridusele, 13.05.2026