Hong Kong’s education authorities are pouring money into artificial intelligence in schools. Universities are launching new courses. Tech skills are the stated goal.
But a string of recent cheating scandals across the region suggests the whole approach may be back to front. A medical school applicant in Taiwan used smart eyeglasses to cheat.
In Hong Kong, a medical graduate accessed patient data without authorisation. These are not isolated failures of technology. They are failures of ethics.
The hardware worked exactly as designed. The people operating it did not.
Tencent, the mainland tech giant, responded by temporarily suspending certain AI functions during the gaokao, the National Higher Education Entrance Examination. That is a blunt fix. It treats the symptom, not the cause.
The cause is a generation of students being given powerful tools without the moral framework to use them responsibly. The Hong Kong government has funded AI use in schools. Universities are building capacity.
Skills development is the priority. Competitiveness is the objective.
All of that matters. But it misses the central problem. A student with a full toolkit and no conscience is not an asset.
They are a liability. What is unfolding is a tension between two goals that are pulling in opposite directions.
One goal is speed — get AI into classrooms fast, train students to use it, keep pace with global rivals. The other goal is caution — teach students when not to use AI, what constitutes cheating, what privacy means. The first goal is winning.
The second is an afterthought. The medical school incidents prove that. Those students did not lack technical ability.
They lacked judgment. They knew how to use the tools.
They did not know, or did not care, that they should not have used them that way. Education systems across Hong Kong, Taiwan, and mainland China now face a choice. They can keep racing ahead on skills, producing graduates who are technically proficient and ethically hollow.
Or they can slow down and embed character and civic responsibility into every AI literacy programme. The evidence so far points to the first path.
The funding, the new courses, the training initiatives — all of it is aimed at capacity. The cheating incidents are treated as PR problems, not systemic warnings. Tencent’s gaokao suspension was a temporary measure.
It did not change the curriculum. But the pattern is clear. Give a student a smart device and no ethical grounding, and they will use it to cheat.
Give a doctor access to patient data and no ethical grounding, and they will snoop. The technology is not the variable.
The person is. What is needed is not more AI courses. What is needed is a different kind of course entirely — one that teaches a student to ask not just “can I do this?” but “should I do this?” That distinction is missing from the current push.
And until it is put at the centre, the next scandal is already waiting to happen.
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