On 24 July 2025 the General Office of the Ministry of Human Resources and Social Security issued the Notice on Broadly Delivering AI Literacy Continuing Education for Professional and Technical Personnel. The document calls for broad AI literacy continuing education for professionals and expressly brings ethics and law into the learning content.
The signal of “general literacy”
Positioning AI education as “general literacy” rather than “specialist training” is a notable formulation. It means AI capability no longer belongs only to algorithm engineers but is a shared foundation for professional and technical staff across industries.
The content covers two levels. Technically, it includes the classification and basic principles of AI, algorithms, compute, data and technical frameworks, as well as machine learning, deep learning, natural language processing, computer vision and embodied intelligence. On methods and norms, it includes AI ways of thinking, ethics and law.
Why “ethics and law” go into a general course
Technical training usually stops at how to use a tool; this notice makes whether the use is right a required subject too. That responds to a real need in practice: the risks of AI application often come not from technical failure but from the user’s misjudgment.
In professional fields such as healthcare, education and law, practitioners using AI-assisted tools must judge whether output is reliable, whether it involves personal information and whether it needs labelling. See our notes on the AI application ethics and security guideline and the AI education ethics reference framework.
Connecting with the digital-literacy drive
This aligns with the national effort to raise digital literacy across the population. See our note on the 2026 work points for digital literacy and skills.
The difference lies in the audience: digital literacy targets everyone, whereas AI literacy continuing education targets professional and technical staff, who bear a higher professional responsibility and therefore face higher ethical and legal expectations.
What it means for institutions and practitioners
First, bring AI ethics and law into internal training systems, especially for roles that use AI to assist decisions directly.
Second, build traceability and review mechanisms, so that professional judgment and AI suggestions can be told apart and traced.
Third, watch the continuing-education hours and certificate requirements, and plan training schedules in advance.
When AI becomes a general-purpose tool, responsibility spreads with it. Helping every user understand the limits of their capability and of the law is a more basic step than writing more rules. See our note on the AI+ employment service guide.
This article is based on public information on the MOHRSS General Office’s notice on AI literacy continuing education for professional and technical personnel and is for reference only; it does not constitute legal advice.