[Hwang Misun's Crisis Escape – Season6] WHY IS THERE MORE INFORMATION,B...

The more information we have, the more easily judgment gets blocked.

[Image credit: AI-generated by the author]

[By Hwang Misun, Columnist, Korea Lecturer News] Today, we do not struggle because we lack information. We struggle because there is too much of it. A simple search produces endless results, and AI can generate answers within seconds. News, videos, reports, comments, statistics, and expert opinions all arrive at once. In the past, the ability to find information was important. Now, the ability to decide what matters within an overflow of information has become far more important.

The problem is that more information does not automatically lead to better judgment. We tend to believe that having more data will help us make better decisions, but the opposite often happens. Choices increase, but decisions slow down. Materials pile up, but conclusions become unclear. We know more, yet it becomes harder to identify what is truly important.

A similar pattern appears in evacuation spaces. When people continue to enter a corridor or exit area, but the number of people leaving is smaller, a bottleneck occurs. The key problem is not simply that there are many people. The real issue is the structure in which inflow exceeds outflow — in other words, q_in > q_out. When inflow continues but cannot be processed, congestion accumulates, and eventually the flow breaks down.

The information environment in the AI era works in the same way. The amount of incoming information has exploded. Search results, AI-generated answers, recommended content, summarized reports, and expert analyses keep flowing in. However, human judgment capacity does not increase at the same speed. Reading, comparing, interpreting, and making responsible choices all require time. When information input increases but judgment output cannot keep up, a decision-making bottleneck occurs.

This is the essence of modern decision fatigue. We are not tired because we know too little. We are tired because we know too much without a clear structure for judgment. Before we decide what is true, what matters, and what should be chosen, more information arrives. As a result, decisions are delayed, and unprocessed information accumulates in our minds. The problem is not a lack of information. It is the collapse of the information-processing structure.

AI makes this problem even clearer. AI can organize vast amounts of information quickly. But the fact that AI organizes information does not mean human judgment is automatically completed. AI-generated answers can become material for judgment, but the final choice still belongs to humans. If a user keeps receiving AI responses without first defining the purpose of the question or the criteria for judgment, information input increases while judgment output stops.

The same problem appears in organizations. There are more meeting materials, longer reports, and more analytical tools, yet decisions are often delayed. Data comes from different departments, AI provides predictions, and external information is added. However, without clear decision criteria, information does not support decision-making. Instead, it blocks it. As information increases, responsibility becomes dispersed, and choices are postponed.

What we need is not simply more information. We need a processing structure. We must decide which information to examine first, what criteria to use for filtering it, and when a decision should be made. Just as evacuation bottlenecks can be reduced by balancing inflow and outflow, decision-making bottlenecks can be reduced by balancing information input and judgment capacity.

[Image credit: AI-generated by the author]

A person who uses AI well is not someone who simply receives many answers. It is someone who can place AI-generated information within their own structure of judgment. They must define the purpose of the question, set decision criteria, and distinguish necessary information from unnecessary noise. Otherwise, AI can become not a tool that supports judgment, but a device that pushes even more information into an already overloaded system.

In the AI era, competitiveness does not come from knowing more information. It comes from turning information into a structure that can support judgment. As information increases, what matters most is the direction of the question, the standard of selection, and the ability to reach a conclusion. The moment information input exceeds judgment output, decision-making becomes blocked.

The more information we have, the more easily judgment can become stuck — it does not automatically become better.

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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