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AI literacy levels depend on income and education

AI literacy levels depend on income and education

Artificial intelligence has become an integral part of everyone's life today: from chatbots in customer support to recommendation algorithms on social media, this technology powers it all. However, even though most users interact with this "invisible mechanics" dozens of times a day, they often fail to recognize its presence. A large-scale study by the Pew Research Center shows that the ability to identify AI varies significantly based on socioeconomic status. This is reported by Ixbt.com reports .

Researchers at Hong Kong Baptist University analyzed a survey of over 10,000 respondents and found that individuals with higher education and income levels are much better at identifying AI operations. Education was identified as the strongest predictor of AI literacy. This mirrors the "digital divide" in internet usage, highlighting clear inequalities in technological literacy.

Experts emphasize that recognizing AI is the foundation of AI literacy. Users who do not understand the impact of the technology face serious difficulties in protecting their personal data or evaluating the fairness of algorithmic decisions. In critical processes like hiring or credit approval, a lack of understanding of AI's role can increase social vulnerability.

The study's authors are concerned about a "technological blind spot" in society. If citizens do not understand how algorithms work, they cannot challenge system errors or demand transparency. Therefore, promoting AI education and increasing digital literacy for all segments of the population is the only way to reduce future social inequality.

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