The ability to understand what AI is, how it works at a practical level, and how to use it responsibly — required by the EU AI Act for staff deploying or overseeing AI.
The ability to understand what AI is, how it works at a practical level, and how to use it responsibly — required by the EU AI Act for staff deploying or overseeing AI.
Article 4 of the EU AI Act places an obligation on providers and deployers to ensure that staff involved in AI operation and oversight possess sufficient AI literacy, taking into account their specific role, the nature of the AI system, and the sector of deployment. AI literacy encompasses technical understanding (how machine learning works), contextual understanding (what the system does and its limitations), and governance understanding (what obligations and rights apply). The concept is broader than data literacy and narrower than data science; it is the practical fluency needed for responsible human oversight.
Organisations deploying AI must audit workforce competency, identify literacy gaps by role, and commission training programmes to satisfy Article 4 — treating AI literacy as an ongoing organisational capability rather than a one-time exercise.
Like financial literacy training for advisers selling regulated investment products — the level of knowledge required is proportionate to the role and the risk involved.
The ability to understand what AI is, how it works at a practical level, and how to use it responsibly — required by the EU AI Act for staff deploying or overseeing AI.
Article 4 of the EU AI Act places an obligation on providers and deployers to ensure that staff involved in AI operation and oversight possess sufficient AI literacy, taking into account their specific role, the nature of the AI system, and the sector of deployment. AI literacy encompasses technical understanding (how machine learning works), contextual understanding (what the system does and its limitations), and governance understanding (what obligations and rights apply). The concept is broader than data literacy and narrower than data science; it is the practical fluency needed for responsible human oversight.
Organisations deploying AI must audit workforce competency, identify literacy gaps by role, and commission training programmes to satisfy Article 4 — treating AI literacy as an ongoing organisational capability rather than a one-time exercise.