Neural networks already help write texts, search for information and solve work problems. However, experts warn that if you thoughtlessly transfer more and more mental work to artificial intelligence, this can affect memory, attentiveness and the ability to independently analyze information.
Artificial intelligence over the past two years has transformed from an interesting technology into an everyday work tool for millions of people, xrust states. Neural networks help compose letters, search for information, translate texts, write code, and even plan vacations.
However, along with the growing popularity of AI, questions have arisen about its impact on human thinking. Experts are increasingly talking about the phenomenon of “cognitive offloading” — a situation when a person begins to shift tasks that he previously performed independently to technology.
The reason for a new wave of discussions was the publication of BBC Future, in which experts explained how to use neural networks without the risk of turning your own brain into a “lazy appendage” of a digital assistant.
Why scientists are concerned
Neural networks themselves do not make people less smart. The problem arises when the user stops checking the AI's answers and begins to perceive them as ready-made truth.
Researchers note that modern language models are capable of producing convincing-sounding answers even in cases where the information contains errors or inaccuracies. Because of this, users may gradually lose the habit of analyzing facts and seeking confirmation from independent sources.
A number of scientific works in recent years have found a connection between the frequent use of generative AI and a decrease in the level of critical understanding of information. The authors emphasize that the key role is played not by the very fact of using a neural network, but by the degree of dependence on it. The more often a person completely trusts the algorithm to perform intellectual tasks, the less he uses his own analytical skills.
How to use AI correctly
Experts suggest treating neural networks not as a substitute for the brain, but as an assistant.
The first rule is not to ask the AI to immediately give a ready answer. It is much more useful to first try to solve the problem yourself, and then compare your solution with the algorithm’s proposal.
For example, if we are talking about writing an article, report or educational work, you should first draw up your own text plan and only then turn to the neural network for additional ideas.
The second important principle is to ask clarifying questions. Instead of asking “Write me an answer,” experts recommend asking: “What arguments can you give?” or “What weaknesses does this idea have?”
This approach forces a person to participate in the thinking process, and not just copy the finished result.
The third rule concerns information verification. Any figures, research references, legal information or medical advice should be cross-checked with official sources.
Why it is sometimes important to work without neural networks
Experts compare the impact of AI with the impact of navigators on the ability to navigate the city.
When a person constantly uses navigation, he gets to the desired point faster, but remembers routes worse. A similar principle applies to neural networks.
If you completely trust the algorithm to find solutions, the brain gets less practice in analyzing, remembering and building logical connections.
Therefore, experts advise regularly performing some tasks yourself. This could be writing text without prompts, solving work issues without the help of a chatbot, or independently searching for information in several sources.
Is a complete abandonment of AI necessary
Most researchers believe not.
Technologies can save time, support learning, and expand access to knowledge. Moreover, some studies show that when used wisely, AI can stimulate curiosity, help look at a problem from different angles, and act as a kind of intelligent interlocutor.
The main task of the user is to maintain control over the thinking process.
If a neural network helps you search for ideas, test hypotheses and find alternative solutions, it becomes a useful tool. If a person stops independently analyzing information and accepts the algorithm’s answers on faith, the risk of intellectual dependence actually increases.
Conclusion
Experts agree: artificial intelligence does not automatically turn the brain into “mush.” The consequences depend on the role one assigns to technology. Using AI as an assistant is smart. Using it instead of your own thinking is already a risk. That is why in the era of neural networks, one of the most valuable skills remains the ability to ask questions, doubt and draw conclusions on your own.
From the pages of https://www.bbc.com
Xrust How to use AI and not “forget how to think”: expert advice
