AI Literacy

Foundational knowledge introduced by the DKO that explains what AI is, common application areas and algorithmic limitations, and basic risk awareness (including bias, data protection, and safety). The term refers to non‑technical understanding aimed at enabling citizens and public servants to use and critically evaluate AI‑enabled services, not to technical model development.

The knowledge and skills needed to understand, use, and critically evaluate AI systems, spanning education from primary school to university and workforce reskilling. The Action Plan promotes integration of AI literacy into curricula and lifelong learning initiatives to prepare citizens and workers for AI-related change.

The set of public and professional knowledge, skills, and competencies required to understand AI's advantages, limitations, biases, and safe use; includes broad-based education and specialized training to enable informed participation, oversight, and responsible deployment of AI technologies.

AI literacy describes the competences and training required by educators and learners to understand, use and critically evaluate AI tools in educational contexts. The policy requires large‑scale professional development programs and designated modules to ensure educators complete AI literacy training before classroom deployment.

A student's ability to understand the fundamental capabilities and limitations of artificial intelligence, recognize its ethical implications, and comprehend its societal impact, including how AI systems function, process information, and influence daily life.

AI literacy is the ability to comprehend, interact with, and ethically engage with Artificial Intelligence technologies. It encompasses understanding basic AI concepts, its applications, limitations, and societal implications, enabling informed participation in an AI-driven world.