Tristan Harris—Co-founder, Center for Humane Technology

"What’s surprising and what nobody foresaw is that just by learning to predict the next piece of text on the internet, these models are developing new capabilities that no one expected. So just by learning to predict the next character on the internet, it’s learned how to play chess."

“No one is building the guardrails [for AI]. And this has moved so much faster than our government has been able to understand or appreciate.”

Stuart Russell—Professor of Computer Science at Berkeley

"What I’m finding is that senior people in the field who have never publicly evinced any concern before are privately thinking that we do need to take this issue very seriously, and the sooner we take it seriously the better."

"Just as nuclear fusion researchers consider the problem of containment of fusion reactions as one of the primary problems of their field, it seems inevitable that issues of control and safety will become central to AI as the field matures."

Tyna Eloundou, Sam Manning, Pamela Mishkin, Daniel Rock—University of Pennsylvania

80% of the U.S. workforce could have 10% of their work tasks affected by modern AI. Almost one-fifth of workers could see half their work tasks affected.

Aza Raskin—Co-founder, Center for Humane Technology

"Researchers don't know what ChatGPT4 is capable of. And yet researchers have deployed it to the public."

The AI Dilemma—Center for Humane Technology

"Corporations are caught in an arms race to deploy their new technologies and get market dominance as fast as possible. In turn, the narratives they present are shaped to be more about innovation and less about potential threats. We should put the onus on the makers of AI—rather than on citizens—to prove its danger."

"Guardrails you may assume exist actually don’t. AI companies are quickly deploying their work to the public instead of testing it safely over time. AI chatbots have been added to platforms children use, like Snapchat. Safety researchers are in short supply, and most of the research that’s happening is driven by for-profit interests instead of academia."

"The media hasn’t been covering AI advances in a way that allows you to truly see what’s at stake. We want to help the media better understand these issues. Cheating on your homework with AI or stealing copyrighted art for AI-generated images are just small examples of the systemic challenges that are ahead."

Geoffery Hinton—AI "godfather" and former Google scientist

OpenAI, “eclipses a person in the amount of general knowledge it has and it eclipses them by a long way."

"I’ve come to the conclusion that the kind of intelligence we’re developing is very different from the intelligence we have."Unlike biological intelligences like human beings, [AI systems] can learn separately, they share their knowledge 'instantly.' So it’s as if you had 10,000 people and whenever one person learned something, everybody automatically knew it. And that’s how these chatbots can know so much more than any one person."

Steve Omohundro—Founder of the Vision and Learning Group and the Center for Complex Systems Research, and inventor of various important advances in machine learning and machine vision

"We have shown that all advanced AI systems are likely to exhibit a number of basic drives. It is essential that we understand these drives in order to build technology that enables a positive future for humanity. […] The rapid pace of technological progress suggests that these issues may become of critical importance soon."