Nvidia CEO Jensen Huang, in an interview, said the prediction that humanity could be gone within a decade is “completely false,” while saying concerns about AI safety are not wrong.
The interview was conducted by CBS News senior business and technology correspondent Jo Ling Kent on Sunday, Sept. 20, 2026.
Huang explained further that the narrative is “dramatic” and gets a lot of attention. He said the people raising the concerns care deeply about making sure AI products are built safely.
Huang said the AI industry is transitioning from developing technology that is becoming capable to technology that has become useful. Companies are moving from laboratories to engineering and products, he said, requiring more research and computing to be dedicated to safety.
As products mature and roll out into society, Huang said more engineering is dedicated to verification, testing, evaluation, benchmarking, standards and reliability. He compared this transition with aviation, saying more people work on airline, aircraft and air-travel safety than on making new types of aircraft.
On regulation, Huang argued for using existing laws and regulations before creating new ones. He pointed to cybersecurity laws that address unauthorized entry into systems and said existing laws also cover damage caused by such activity. He also referred to product-liability laws, saying that if a product causes harm, the company can be held liable under those laws.
He also said AI companies need more secure sandboxes, isolation and containment for experiments, closer monitoring during testing and evaluation, and public sharing of incidents so the industry can learn.
Huang said AI should advance “as fast as we can, but not faster than we should”, and that compromising safety “can’t happen.”
Read next:
• AI is distorting archaeology and flattening Indigenous Knowledge
• Nearly Half Of Investors Have Used GenAI, 17.7% Of Users Adopted It As A Routine Tool, And 54% Cited Reliability And Accuracy Concerns
• How to know if you can trust an AI’s answer to your question
by AI Analysis via Digital Information World
No comments:
Post a Comment