The EU AI Act
When considering applications of Generative AI, it is important to consider the European Union AI Act, which is also provided as a high-level summary.
Of particular importance is that the AI Act classifies AI according to its risk in four different categories:
- Unacceptable risk (which is prohibited)
- High-risk systems (which is strongly regulated)
- Limited risk systems (still subject to e.g. transparency obligations)
- Minimal risk (which is unregulated)
With some exceptions, AI systems that determine admission to education, evaluate learning outcomes or monitor prohibited student behaviour under tests are all classified as high-risk systems and need to fulfill a list of requirements that include human oversight, proper design and quality management, risk assessment, data governance and more. High-risk AI systems must undergo rigorous testing, maintain comprehensive documentation, and prioritize user safety and transparency.
Please see at least the summary if you need to assess how your planned use is categorized.
EU DigComp Framework
The Digital Competence Framework for Citizens (DigComp) is the European Unions framework for identifying and describing the key areas of digital competences.
Competences are divided into five areas:
- Information and data literacy
- Communication and collaboration
- Digital content creation
- Safety
- Problem solving
In total 21 competences are included within the five areas.
A publication authored by Vuorikari, R. et al. “DigComp 2.2: The Digital Competence Framework for Citizens - With new examples of knowledge, skills and attitudes” is provided both in English and in Danish (translated by Dahl, M.R.).
The framework may be relevant when considering how to describe learning objectives that include Generative AI.