[Special Edition of Hwang Mi-sun's Crisis Escape] Not Someone Who Simply ...

In the Age of Generative AI, the Problem Is Not the Tool but the Structure of the Question

[Image credit: AI-generated by the author]

[By Hwang Misun, Columnist, Korea Lecturer News] This special edition expands the perspective of my existing column series, which has focused on transportation, disaster response, and system collapse, into the field of generative AI.

With the rise of generative AI, people have begun learning how to use AI at a rapid pace. They use ChatGPT to write, create images, organize reports, and prepare presentation materials. The ability to use AI is no longer considered a special skill. It is becoming a basic competency.

However, there is an important question we must ask. Does using AI more often automatically lead to better results? The answer is no. Even when using the same tool, some people receive clear and useful results, while others receive vague or irrelevant answers. Some questions lead to logical responses, while others cause the answer to lose direction and collapse midway.

The problem is not AI itself. The problem is the structure of the question.

Many AI education programs focus on how to use generative AI. They teach which buttons to press, what commands to enter, and what prompt examples to follow. Of course, this is necessary. But what truly matters lies one level deeper. We need to understand when AI produces good answers, when it begins to waver, and why it sometimes moves in the wrong direction.

AI responds based on the question given by the user. If the question is vague, the answer becomes unstable. If the conditions are missing, the result becomes incomplete. If the purpose is unclear, AI may generate sentences that appear smooth on the surface but lack a clear core. The response may look polished, but in reality, it may be the result of a collapsed structure.

At this point, we need to reconsider the direction of AI education. What we need in the future is not simply someone who teaches how to use AI. We need someone who can explain why AI breaks down.

The same applies to roads. Traffic congestion does not always occur simply because there are many cars. The real issue begins when the flow breaks. When different speeds collide, reaction times vary, and small delays accumulate, the entire flow may eventually collapse. A bottleneck does not occur only at a narrow point. A bottleneck emerges when the structure of flow becomes unstable.

AI use is similar. Problems do not arise simply because there are many questions. They arise when the direction, conditions, purpose, and context of a question do not align. At first, it may look like a small error. But when that error accumulates, the AI response gradually moves away from its original purpose. In the end, the user may say, “AI is strange,” but in many cases, the structure of the question had already collapsed first.

For this reason, the role of a generative AI education instructor should not be limited to guiding people through tools. It should not stop at providing good prompt examples. What matters is helping users design the structure of their own questions.

What do I want to obtain?

What conditions are necessary?

What context should be provided?

What kind of result should be considered a good answer?

When these questions are clarified, AI becomes not just a tool but a collaborator.

In the coming AI era, the gap will not only be between those who use AI and those who do not. A larger gap will emerge between those who know what to ask AI and those who use AI without a structure for questioning.

AI is not a tool that only benefits fast users. AI becomes powerful for those who understand structure.

AI education must now move beyond usage training. It must move from teaching buttons to teaching the structure of thinking. The generative AI education instructor stands exactly at this turning point.

There will be more and more people who can use AI well. However, those who can explain why AI becomes unstable, why it makes mistakes, and why it breaks down will remain rare.

The expert we need in the future is not simply someone who teaches how to use AI. It is someone who can explain why AI wavers, where the question collapses, and how to rebuild the flow through a better structure.

The true competency of the generative AI era is not the ability to handle tools quickly. It is the ability to design a question structure that does not collapse.

Columnist Profile

Hwang Misun is a disaster safety instructor who has conducted on-site safety education for citizens and students. Based on repeated observations of “stoppages” and “congestion” in real training environments, she interprets disasters not as individual failures but as structural and spatial problems. Her work analyzes everyday risk in hospitals, schools, public transportation, and performance venues through the lens of movement flow, bottlenecks, guidance systems, and exit functionality. She is currently conducting research on evacuation structures using microscopic pedestrian simulation.

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