The risk of misinformation
Li warned that poor communication can feed misinformation. When people don't understand how AI works, they're more likely to believe false claims about it. That can erode trust and slow down the adoption of useful tools.
She didn't offer specific examples, but the point stands: if the people who know AI best stay silent, others will fill the void with noise.
Equitable distribution
Li also stressed that the benefits of AI should go to everyone, not just a select few. That means making sure the gains from AI are spread across society, and that starts with clear communication. If people don't know what AI can offer, they can't take advantage of it.
Her message is a reminder that technical progress alone isn't enough. The way AI is talked about matters just as much as the code behind it.
What technologists can do
Li's urging is a direct challenge to the tech community. It's not enough to build impressive systems; you have to explain them. That means using plain language, being honest about limitations, and engaging with the public's concerns.
It's a tall order, but Li's point is that it's necessary. Without better communication, the benefits of AI could be lost to misunderstanding and mistrust.
How technologists respond to her call will likely shape how AI is received in the years ahead.
