Excessive state of AI systems can hinder our potential for critical thinking As people burden the synthesis of machinery, according to researchers at Microsoft and Carnegie Mellon. The study is set to be represented on The HUM Conference on Human Factors in Computer Systems In Yokohama, Japan, in April.
In the study, researchers define critical thinking as a hierarchical pyramid, with the knowledge of the top, followed by understanding of ideas, practicing ideas, analyzing related ideas, synthesizing or combining those ideas and assessing ideas through established criteria.
Based on research done by 319 knowledge workers, which can generally be categorized as white collar jobs, the study found that although generative AI can improve efficiency, “can inhibit critical work engagement and potentially lead Until long -term tool prevailing and reduced skill for independent troubleshooting. “
Researchers have found that workers want to use AI to check their work and do so by comparing it against other external sources to meet certain criteria. While this certainly requires critical analysis, researchers note that the use of AI of workers to automate routine or lower -depth tasks is causing concern about “long -term reliance and reduced independent problem solving”.
Interestingly, when workers have more confidence in AI's responses, “appears (a) to reduce the perceived efforts needed for critical thinking tasks.” However, workers who truly believe in their own expertise end in more effort in assessing you. So while AI can help workers get the information faster, they can end up spending more time trying to confirm all that information as accurate, not hallucination.
“As workers are transferring from the performance of tasks in the supervision of the VI, they trade in practically engaging in the challenge of verifying and regulating the results of AI, revealing the benefits of efficiency and risks of reduced critical reflection,” the study said.
Researchers do not want people to come to the final conclusions about the use of AI and weakened critical thinking, however. They admit that the correlations do not indicate a cause. It is impossible to see in the human mind and to know exactly what they think when they climb when a person reads a response generated by AS.
However, the data led to some recommendations from researchers. The study says that when workers are transferred from tasks to gather information to greater information verification, they should be trained in the importance of cross -referencing AI results and assessing their relevance.
The study comes when AI multiplies in all sectors, with particularly major effects on business activities, which may notice a 41% decrease in the workforce, according to a survey by World Economic Forum. Already, CEOs of great technology Recognize that they have overloaded more Ai's tasksLeading to layoffs and less job opportunities. Clarna's CEO statements to the BBC He has already reduced his labor force from 5,000 to 3,800 and plans to bring it down to 2,000 more, but admits that the remaining employees will pay more.
A series of executive orders related to the SPI's security from former President Oeo Biden were Inverted by President Donald TrumpGiving great technology less protective boards. Last week, Google has lifted a ban on AI to be used to develop weapons and surveillance tools. All of these changes make the results of this study more relevant as workers gain access to more tools for you and are tasked with overseeing more information on AI-generated.
Researchers pointed out that with every new technological innovation, concerns about human knowledge decline is common. For example, they note that Socrates opposed writing, three Thrimus opposed printing and teachers have long been cautious about the calculator and use on the Internet.
But they also point out: “A key irony of automation is that by mechanizing routine tasks and leaving handling except the human user, you deprive the user of routine opportunities to practice its assessment and strengthen their cognitive muscle, leaving them, leaving them. Atrophied and unprepared when exceptions appear. “