Skip to Content
Artificial intelligence

A plan to advance AI by exploring the minds of children

Cognitive science and neuroscience could inspire the next big innovations in artificial intelligence, says the head of an ambitious new MIT-led research project.
September 12, 2018
Photo of Josh Tenenbaum in front of a busy whiteboard
Photo of Josh Tenenbaum in front of a busy whiteboard
Photo of Josh Tenenbaum in front of a busy whiteboard

The next big breakthroughs in artificial intelligence may depend on exploring our own minds.

So says Josh Tenenbaum, who leads the Computational Cognitive Science lab at MIT and is the head of a major new AI project called the MIT Quest for Intelligence.

The project brings computer scientists and engineers together with neuroscientists and cognitive psychologists to explore research that might lead to fundamental progress in artificial intelligence. Tenenbaum outlined the project, and his vision for advancing AI, at EmTech, a conference held at MIT this week by MIT Technology Review.

"Imagine we could build a machine that starts off like a baby and learns like a child," he said. "If we could do this it’d be the basis for artificial intelligence that is actually intelligent, machine learning that could actually learn.”

Some stunning advances have been made in AI in recent years, but these have largely been built upon a handful of key breakthroughs in machine learning, especially large, or deep, neural networks. Deep learning has, for instance, given computers the ability to recognize words in speech and faces in images as accurately as a person can. Deep learning also underpins spectacular progress in game-playing programs, including DeepMind’s AlphaGo, and it has contributed to improvements in self-driving vehicles and robotics. But they are all missing something.

"None of these systems are truly intelligent," he said. "None of them have the flexible, common sense, general intelligence of a two year old, or even a one year old. So what’s missing? What’s the gap?"

Tenenbaum’s research focuses on exploring cognitive science in order to understand human intelligence. His work has, for example, explored how even small children are able to visualize aspects of the world using a kind of innate 3-D model. This gives humans greater instinctive understanding of the physical world than a computer or robot has. "Children’s play is really serious business," he said.  "They’re experiments. And that’s what makes humans the smartest learners in the known universe.”

Tenenbaum has also done groundbreaking work developing computer programs capable of mimicking some of the more elusive aspects of the human mind, often using probabilistic techniques. For instance, in 2015 he and two other researchers created computer programs capable of learning to recognize new handwritten characters, as well as certain objects in images, after seeing just a few examples. This is important because the best machine-learning programs typically require huge quantities of training data. iSee, a self-driving-car company that draws inspiration from this research, was spun out of Tenenbaum’s lab last year.

The Quest for Intelligence, announced in February, also seeks to explore the societal impact of artificial intelligence. This means accounting for the technology’s fundamental limitations or shortcomings, as well as issues such as algorithmic bias and explainability. 

Tenenbaum notes that the original vision for artificial intelligence, a vision that is now more than 50 years old, sought to draw inspiration from human intelligence, but without much scientific grounding. “The fields of cognitive science and neuroscience are now more mature,” he says. “This should make this project special.”

Deep Dive

Artificial intelligence

conceptual illustration showing various women's faces being scanned
conceptual illustration showing various women's faces being scanned

A horrifying new AI app swaps women into porn videos with a click

Deepfake researchers have long feared the day this would arrive.

storm front
storm front

DeepMind’s AI predicts almost exactly when and where it’s going to rain

The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.

People are hiring out their faces to become deepfake-style marketing clones

AI-powered characters based on real people can star in thousands of videos and say anything, in any language.

Tentacle of Octopus
Tentacle of Octopus

What an octopus’s mind can teach us about AI’s ultimate mystery

Machine consciousness has been debated since Turing—and dismissed for being unscientific. Yet it still clouds our thinking about AIs like GPT-3.

Stay connected

Illustration by Rose WongIllustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.