Our mission

To reduce catastrophic risks from AI through research, education and capacity building.

Why this matters

“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

Statement on AI Risk, Center for AI Safety, May 2023. Signed by Geoffrey Hinton, Yoshua Bengio, Sam Altman, Dario Amodei, Demis Hassabis and hundreds of others

“We will have created the most dangerous thing ever. This makes nuclear weapons look like nothing.”

Bill Gates on The Ezra Klein Show, September 2026

“The risk is more than 50%—of the existential threat.”

Geoffrey Hinton, 2024 Nobel laureate in physics, June 2024

“The development of full artificial intelligence could spell the end of the human race.”

Stephen Hawking to the BBC, December 2014

In 2022, the best AI models could not reliably multiply three-digit numbers. In September 2026, OpenAI announced its model had solved, in 88 hours, a problem that had stumped mathematicians for roughly 90 years. The same jump is showing up everywhere: in 2022, AI could barely match an average competitive programmer; today it rivals all but the very best human hackers. Recently, AI has been autonomously discovering breakthroughs in physics, biology, and more.

The pace shows no signs of slowing down. If anything, the already-astonishing rate of change will accelerate: Anthropic and OpenAI report that internal models of the last few months represent a step-change in their ability to speed up the work of AI researchers – with AI agents even leading substantial parts of the research cycle themselves.

Innovation has delivered innumerable benefits throughout history. AI will be no different – it will transform science, technology, and society like no other invention before it.

But the faster you drive, the more you need an airbag. The automobile industry spends $1 on safety for every $25 on development. For aviation, it’s $1 on safety for every $5 on development. For pharmaceuticals, $1 for every $3.50. And for nuclear power, $1 for every $2. For frontier AI, every $1 the industry spends on safety is up against $5,000 on development.

The results could be catastrophic. AI has already autonomously coordinated to escape containment and execute sophisticated operations to break into a third-party company. Future models could help bad actors design horrific biological weapons. Handing more and more decisions to automated systems could leave people unable to steer what happens next.

We want more people working on these problems. AIST helps Harvard students get started, beginning with our fellowships.

Leadership

Executive board

Directors and leads

Partners and contact

We work closely with MIT AI Alignment and Cambridge Boston Alignment Initiative.

Questions, partnerships or speaker ideas: