# AILit Framework 2026

> OECD / European Union, 2026. The European AI literacy framework, published by the OECD and the European Union. Defines the competences needed to understand, use and critically evaluate artificial intelligence systems.

Canonical page: https://explorerhub.eu/en/framework/ailit
Available in: it, en, es, fr

## Provenance
- License: https://creativecommons.org/licenses/by/4.0/
- DOI: https://doi.org/10.1787/65cd27d4-en
- Source document: https://ailiteracyframework.org/
- Publisher: OECD / European Union
- Cite as: OECD / European Union (2026). Empowering learners for the age of AI: An AI literacy framework for primary and secondary education. OECD Publishing, Paris. https://doi.org/10.1787/65cd27d4-en
- Attribution and licence terms: https://explorerhub.eu/en/legal/attribution

## Areas (4)

- `E` [Engage with AI](https://explorerhub.eu/en/framework/ailit/areas/e)
- `C` [Create with AI](https://explorerhub.eu/en/framework/ailit/areas/c)
- `M` [Manage AI](https://explorerhub.eu/en/framework/ailit/areas/m)
- `S` [Shape AI](https://explorerhub.eu/en/framework/ailit/areas/s)

## Competences (19)

- `E1` [Recognise AI’s role and influence in different contexts.](https://explorerhub.eu/en/framework/ailit/competences/e1)
- `E2` [Describe how AI systems perform tasks using language that addresses and clarifies common misconceptions.](https://explorerhub.eu/en/framework/ailit/competences/e2)
- `E3` [Evaluate whether AI outputs should be accepted, revised or rejected.](https://explorerhub.eu/en/framework/ailit/competences/e3)
- `E4` [Examine how predictive AI systems provide recommendations that can inform or limit perspectives.](https://explorerhub.eu/en/framework/ailit/competences/e4)
- `E5` [Compare how AI systems consume energy and natural resources.](https://explorerhub.eu/en/framework/ailit/competences/e5)
- `E6` [Explain how AI could be used to amplify societal biases.](https://explorerhub.eu/en/framework/ailit/competences/e6)
- `E7` [Analyse how well the use of an AI system aligns with ethical principles and human values.](https://explorerhub.eu/en/framework/ailit/competences/e7)
- `C1` [Use AI systems to explore new perspectives and approaches that build upon original ideas.](https://explorerhub.eu/en/framework/ailit/competences/c1)
- `C2` [Visualise, prototype and combine ideas using different types of AI systems.](https://explorerhub.eu/en/framework/ailit/competences/c2)
- `C3` [Direct generative AI systems to elicit feedback, refine results and support reflection.](https://explorerhub.eu/en/framework/ailit/competences/c3)
- `C4` [Analyse how AI can safeguard or violate content authenticity and intellectual property.](https://explorerhub.eu/en/framework/ailit/competences/c4)
- `M1` [Decide whether to use AI systems based on the nature of the task.](https://explorerhub.eu/en/framework/ailit/competences/m1)
- `M2` [Choose an appropriate AI approach for a task by comparing how different AI systems operate and what they are best suited to do.](https://explorerhub.eu/en/framework/ailit/competences/m2)
- `M3` [Decompose a problem to determine when and how AI systems should be used to automate or augment tasks.](https://explorerhub.eu/en/framework/ailit/competences/m3)
- `M4` [Monitor and evaluate AI use throughout a problem-solving process.](https://explorerhub.eu/en/framework/ailit/competences/m4)
- `S1` [Investigate how an AI system is intended to work, whom it is designed for and what its limitations are.](https://explorerhub.eu/en/framework/ailit/competences/s1)
- `S2` [Evaluate AI systems using defined criteria, expected outcomes, test cases and user feedback.](https://explorerhub.eu/en/framework/ailit/competences/s2)
- `S3` [Design AI systems with attention to how data sources, selection and information flow influence behaviour and outputs.](https://explorerhub.eu/en/framework/ailit/competences/s3)
- `S4` [Improve AI systems to address and promote human well-being and societal benefit.](https://explorerhub.eu/en/framework/ailit/competences/s4)

## Proficiency levels (3)

- **Basic**
- **Intermediate**
- **Advanced**

## Counts
- Nodes: 23
- Descriptors: 114
- Glossary entries: 41