How Hallucinatory A.I. Helps Science Dream Up Big Breakthroughs

Artificial intelligence often gets criticized because it makes up information that appears to be factual, known as hallucinations. The plausible fakes have roiled not only chatbot sessions but lawsuits and medical records. For a time last year, a patently false claim from a new Google chatbot helped drive down the company’s market value by an estimated $100 billion.

In the universe of science, however, innovators are finding that A.I. hallucinations can be remarkably useful. The smart machines, it turns out, are dreaming up riots of unrealities that help scientists track cancer, design drugs, invent medical devices, uncover weather phenomena and even win the Nobel Prize.

“The public thinks it’s all bad,” said Amy McGovern, a computer scientist who directs a federal A.I. institute. “But it’s actually giving scientists new ideas. It’s giving them the chance to explore ideas they might not have thought about otherwise.”

The public image of science is coolly analytic. Less visibly, the early stages of discovery can teem with hunches and wild guesswork. “Anything goes” is how Paul Feyerabend, a philosopher of science, once characterized the free-for-all.

Now, A.I. hallucinations are reinvigorating the creative side of science. They speed the process by which scientists and inventors dream up new ideas and test them to see if reality concurs. It’s the scientific method — only supercharged. What once took years can now be done in days, hours and minutes. In some cases, the accelerated cycles of inquiry help scientists open new frontiers.

“We’re exploring,” said James J. Collins, an M.I.T. professor who recently praised hallucinations for speeding his research into novel antibiotics. “We’re asking the models to come up with completely new molecules.”