Will the income gap between the rich and the poor grow? ”The father of artificial intelligence” answered

Geoffrey Hinton, known as the ”father of artificial intelligence”, made remarkable predictions about the income gap between the rich and the poor. Hinton warned that the problems caused by artificial intelligence in the economy could turn into social conflicts.

Geoffrey Hinton, a name who has made significant contributions to the development of artificial neural networks, has recently been drawing attention with his warnings about the negative consequences that will emerge with the rapid development of artificial intelligence.
Hinton stated in a recent statement that artificial intelligence will further deepen the gap between the extremely rich and the poor. The expert suggested that with the development of artificial intelligence technology, productivity will increase significantly, but this situation will be in favor of the rich. Hinton said that in a capitalist society, large corporations would profit more from increased productivity, which would lead to further impoverishment of individuals who lose their jobs.
It is not unpredictable that technology will eliminate some branches of work today, but according to Hinton, artificial intelligence will be the final link in this process and deepen social separation.
Hinton, who previously worked on Google’s research team, said, “Increased productivity means more goods and services for everyone, but in a capitalist system this will result in the rich making more profits. “The incomes of those who lose their jobs will decrease and the gap will grow,” he said.
Hinton also claimed that the widening income gap could pave the way for the development of fascism. As the rich gain more power, the social balance will be disrupted, which will lead to major sociological conflicts.
Hinton’s concerns are not limited to income inequality. In a statement to Canada’s CBC News in 2023, he talked about the potential dangers of large companies’ investments in artificial intelligence in the future.
Hinton drew attention to the uncertainties in this area by asking the question, “If we produce artificial intelligence systems that are smarter than us, how can we be sure that we can control them?”
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