Billionaire Elon Musk said Monday after meeting with officials during his recent visit to China that the Chinese government will try to introduce artificial intelligence regulations in his country.
Musk did not elaborate and made his comments Monday in a Twitter space with Democratic presidential candidate Robert F. Kennedy Jr.
“It’s worth noting that on my recent trip to China, I went to the senior leadership there. I think we discussed the risks of artificial intelligence, and the need for some oversight and regulation,” Musk, the owner of Twitter and Tesla, said. But had some very productive discussions.” Inc. Chief Executive.
“And my understanding from these conversations is that China will start to regulate AI in China.”
JEE News was not immediately able to reach Chinese officials for comment outside normal business hours.
Musk left for Shanghai on Thursday after completing a two-day visit to China where he met with top Chinese government officials, including the top vice-premier.
Musk met with China’s foreign, trade and industry ministers in Beijing. He also met Chinese Vice Premier Ding Zhuxiang on Wednesday, a source familiar with the matter said.
China’s cyberspace regulator unveiled draft measures to govern generative artificial intelligence services in April, saying it wants firms to submit security assessments to authorities before launching their offerings to the public. go
Many governments are considering how to mitigate the risks of the emerging technology, which has experienced a surge in investment and user popularity in recent months following the launch of OpenAI’s ChatGPT.
In April, the Cyberspace Administration of China (CAC) said that China supports the innovation and application of AI and encourages the use of secure and reliable software, tools and data resources, but generative AI. The content produced by should be in line with the basic socialist values of the country. .
It states that providers will be responsible for the legitimacy of data used to train generative AI products and must take steps to prevent discrimination when designing algorithms and training data.
