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HomeAIDoes AI have limits? Explanation of 4 cases and solutions

Does AI have limits? Explanation of 4 cases and solutions

Table of contents

  • What is AI?
  • Three tasks that AI is good at
  • Cases that showed the limits of AI
  • What is the solution when you feel the limits of AI?
  • Benefits gained from introducing AI
  • summary

When many people hear the word AI, they may think of a technology that has an image of omnipotence. Nowadays, AI is being used in all kinds of daily life and business situations, but of course there are things that AI can and cannot do. In this article, we will discuss examples and solutions based on the theme of “Limits of AI.”

What is AI?

Three tasks that AI is good at

The advent of AI has dramatically improved identification capabilities in various fields. Some of the tasks that AI is good at include:

act according to established rules

If you program rules in advance, AI can operate according to those rules. Unlike humans, they are able to accurately complete defined tasks without being influenced by their physical condition or personal ability, which helps maintain a constant level of productivity.

Data analysis/prediction

AI can accurately make advanced predictions against large amounts of data. The analyzed data is also useful for internal corporate operations such as improving operational efficiency, digital marketing, and even human resources recruitment.

Image/audio analysis

With the development of deep learning technology, the accuracy of image recognition and voice recognition has improved significantly, and its use in industry has progressed. This technology is used in facial recognition systems, smart speakers, automated telephone answering tools, and more.

Cases that showed the limits of AI

Although AI is making remarkable progress, some believe that there are limits to its development. Here, we will explain four areas where the limits of AI are currently visible.

Translation field

There are limits to how AI can correctly read the context and nuances of documents such as novels, essays, and scenarios. This is because these documents contain the author’s subjective opinion, and the same sentence may have completely different meanings depending on the context. Therefore, at present, we can only refer to language/word data, and it is considered difficult to accurately capture and translate the text itself.

Ethics field

AI has no respect for privacy or ethics. For this reason, it is difficult to make judgments based on human emotions and experience that we humans normally make, and fields that require ethics are said to be unsuitable for AI.

Irregular social changes

AI cannot suddenly respond to cases where underlying conditions change, as seen with the new coronavirus. For example, some businesses that have previously used AI to predict demand and manage inventory for e-commerce have found themselves unable to provide services due to lack of inventory due to AI not being able to predict sudden changes in needs.

Deep learning computational cost

In order to perform deep learning, it is necessary to prepare a computer and calculation environment for it. While the amount of computation that can be performed with deep learning has increased dramatically, the cost and cost-effectiveness of that computation are weighing heavily on users.

What is the solution when you feel the limits of AI?

So, what measures should we take when we feel that AI has reached its limits? Here, we will explain specific solutions.

create a new algorithm

Algorithm is a term that refers to a procedure or calculation method for solving a problem. Building new algorithms is essential for the development of AI learning. If the existing algorithm repeatedly fails, create a new algorithm and improve its accuracy through the PDCA cycle.

Always keep your data filled

For AI to continue to evolve, it is essential to constantly enrich it with new data. Data changes over time. Even if the construction has been completed successfully, if you leave it as is, you will not be able to perform accurate analysis, so it is important to regularly review and add data.

Benefits gained from introducing AI

Utilizing AI has various benefits. Here, we will introduce the benefits that companies can gain by introducing AI.

Increases productivity

By utilizing AI, it is possible to produce more output with less cost and time. In particular, they can outperform humans in terms of output and cost efficiency when it comes to routine tasks that involve repeating the same monotonous movements.

Leads to resolving labor shortages

By introducing AI, you can make your business more efficient. For example, AI-powered chatbots can reduce the workload of operators by automatically responding to customer inquiries. The introduction of AI can be said to be particularly effective in industries and sectors where a shortage of human resources is an issue.

Advance prediction increases safety and certainty

Employee safety can be increased by using AI and robots in place of humans for dangerous work or work in areas that humans cannot access. Additionally, by using AI to automatically detect infrastructure deterioration and machine failure, accidents can be prevented.


In the coming era, it is expected that the use of AI will continue to expand. It is important to take into account that AI, which appears to be omnipotent, can and cannot do certain things, and to use AI wisely while identifying these.



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