AI literacy
Definition
The skills, knowledge and understanding that let providers, deployers and affected persons use AI systems in an informed way and recognize their opportunities, risks and possible harms.
Article 4 of the EU AI Act requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons operating or using AI systems on their behalf. Unlike most of the Act, this duty is not limited to high-risk systems: it applies to any organization in scope that uses AI at work. The measures must take into account people's technical knowledge, experience, education and training, and the context in which the systems are used.
The Act does not prescribe a course or a certificate. What matters is that people understand what the tools they use can and cannot do, how errors such as hallucinations arise, which data may be entered, when human review is required and whom to alert when something goes wrong. A practical program combines role-based training, an acceptable use policy and records showing who was trained on what. A credential such as RAIF can serve as evidence of knowledge, but does not by itself establish compliance.
Where this term is assessed
Assessed in the Responsible AI Foundation (RAIF), domain 5: Responsible use at work.
Also covered in: Responsible AI Leader (RAIL), Responsible AI for Executives (RAI-X)
Primary sources
- Regulation (EU) 2024/1689 (AI Act), Art. 4