New research indicates that excessive dependence on artificial intelligence may hinder critical thinking

Excessive dependence on Artificial intelligence systems may hinder our critical thinking capabilities While people cancel the synthesis to the machines, according to researchers in Microsoft and Carnegie Mellon University. The study was set in Chi Conference on Human Factors in Computing Systems In Yokohama, Japan, in April.

In the study, researchers define critical thinking as a pyramid, with knowledge at the top, followed by understanding ideas, putting ideas into practice, analysis against relevant ideas, synthesis or combining these ideas and assessing ideas through specific criteria.

Depending on the surveys of investigative studies conducted on 319 knowledge workers, which can generally be classified as the functions of white collars, the study found that although the gym artificial intelligence can improve efficiency, “it can prevent critical participation with work and can lead to Long -term long over the tool and decrease skill to solve independent problems. “

The researchers found that workers like to use artificial intelligence to check their work and do this by comparing it with other external sources to meet certain criteria. Although this definitely requires a critical analysis, researchers notice that the use of workers is an artificial intelligence to automate routine or low risks raises concerns about “long -term dependence and resolution of independent problems.”

Interestingly, when workers have a higher confidence in artificial intelligence responses, “it seems (s) to reduce the perceived effort required for the tasks of critical thinking.” However, workers who really believe in their experience end up making more effort to assess the artificial intelligence responses. So, while artificial intelligence can help workers recover the information faster, they may end up spending more time trying to check all this information as accuracy, not hallucinations.

The study said, “With the transformation of workers from carrying out tasks to overseeing artificial intelligence, they trade in practical participation to challenge the verification and liberalization of artificial intelligence outputs, which reveals the gains of competence and the risks of a reflection of critical reflection.”

However, researchers do not want to receive final conclusions about the use of artificial intelligence and poor critical thinking. They admit that the links do not indicate causation. It is impossible to see within the human mind and know exactly what ideas that wear when a person reads an answer created from artificial intelligence.

However, the data led to some recommendations from researchers. The study says while workers turn from the tasks of collecting information to more information verification, they must be trained on the importance of the artificial intelligence reference and evaluate their suitability.

The study comes at a time when artificial intelligence multiplies in all sectors, with special main effects for companies, which may witness a 41 % decrease in the workforce, according to a survey of its conducted. World Economic Forum. Indeed, senior technology executives He admitted that they took more tasks to artificial intelligenceWhich leads to workers’ layoffs and less business opportunities. CEO of Clarna BBC said He has already reduced the workforce from 5,000 to 3800 and intends to reduce it to 2000, but he admits that the remaining employees will receive their salaries more.

It was a series of executive orders related to artificial intelligence by former President Joe Biden President Donald Trump was transferred byGive a large technique for the least handrail. Last week, Google lifted its ban on the use of artificial intelligence to develop weapons and monitoring tools. All of these changes make the results of this study are more related to workers who can access more artificial intelligence tools and are assigned to oversee more information created from artificial intelligence.

The researchers indicated that with any new technological innovation, fears of low human perception are common. For example, they notice that Socrates objected to writing, Trithemius objected to printing and that teachers have long been careful not to use the calculator and the Internet.

But they also point out that “the main paradox in automation is that through the mechanics of routine tasks and leaving an exception to the human user, you deprive the user of routine opportunities to exercise their rule and enhance their cognitive muscles, and leave them a conscience, dressing and an unprepared guarantee when exceptions arise.”