Elon Musk: The Chinese Government Will Regulate AI

JAKARTA - On Monday, June 5, billionaire Elon Musk said that the Chinese government will seek to initiate regulation of artificial intelligence in his country after meeting with government officials during his visit to China.

Musk did not provide further details and made his comments in a Twitter Space with the Democratic presidential candidate, Robert F. Kennedy Jr., last Monday.

"It's worth noting that during my last visit to China, I met with senior leaders there. I think we had very productive discussions about the risks of artificial intelligence and the need for oversight and regulation," said Musk, owner of Twitter and CEO of Tesla Inc.

"And my understanding from that conversation is that China is going to start regulation of AI in China," Musk said.

Musk left Shanghai on Thursday, June 1 concluding a two-day visit to China where he met senior government officials including the country's top deputy prime minister.

Musk met China's foreign, trade, and industry ministers in Beijing. He also met with China's Deputy Premier, Ding Xuexiang, on Wednesday, May 31, said a source familiar with the matter.

China's cyber regulator disclosed draft measures in April to manage generative artificial intelligence services, saying it wanted companies to submit security assessments to authorities before rolling out their products to the public.

Several governments are considering how to mitigate the dangers of this emerging technology, which has seen increased investment and consumer popularity in recent months following the release of OpenAI's ChatGPT.

In April, the China Cyber ​​Administration (CAC) said that China supports the innovation and application of artificial intelligence and encourages the use of safe and trustworthy software, tools and data resources, but content generated by generative AI must comply with the values core socialist of the country.

Service providers will be responsible for the validity of the data used to train generative AI products, and steps should be taken to prevent discrimination when designing algorithms and training data, according to the statement.