The widespread use of artificial intelligence (AI) technologies may lead to a decline in humanity’s mental abilities, as neural networks will solve most mental problems for humans. This conclusion was reached by professor Humberto Leon Domingos from the University of Monterrey in Mexico. The scientist presented his arguments in an article in the scientific journal magazine Neuropsychology.
According to the researcher, ChatGPT stands out among existing artificial intelligence models. Unlike older neural networks that struggle to capture the nuances of language, ChatGPT uses what’s called the transformer model. With its help, the algorithm’s responses closely resemble the judgments of a living person.
Professor Dominguez noted that ChatGPT and similar models free people from the task of finding solutions to problems and making plans, which is a useful cognitive training.
In his publication, the scientist warns about the potential risks associated with such close integration of artificial intelligence into cognitive processes. The core problem is called “cognitive offload”; Here, humans can become overly dependent on neural networks, leading to a reduced ability to perform mental tasks independently. Just as muscles can weaken without exercise, cognitive skills can also weaken if not used regularly.
As Dominguez’s article emphasizes, the danger is not just that people are becoming too lazy to take the time to think. There is a higher risk of delays in cognitive development and problem-solving skills. Over time, this could lead to a lack of critical thinking and creativity in society as people become accustomed to letting AI do the heavy lifting.
The researcher emphasized that not all technologies are associated with the risk of cognitive load. Most traditional tools still require human effort to produce results.
Previously several thousand scientists described Best and worst scenarios for the further development of humanity under the influence of artificial intelligence.