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Artificial intelligence

AI can spot your eye disease with 94.5 percent accuracy

August 14, 2018

Even more impressive, it can explain its choices.

Explain yourself: The black box has long been a challenge in artificial intelligence. This refers to the tendency of algorithms to spit out results without explaining what went into them—and it can make weeding out bias difficult.

The news: In a paper released in Nature Medicine yesterday, DeepMind researchers described an AI system that can identify more than 50 diseases, refer them to a specialist, and, most important, indicate which portion of a medical scan prompted the diagnosis.

Why it matters: Explainability is crucial if AI is to see increased use in medicine. “Doctors and patients don’t want just a black box answer, they want to know why,” Ramesh Raskar, an associate professor at MIT, told Stat. “There is a standard of care, and if the AI technique doesn’t follow that standard of care, people are going to be uncomfortable with it.”

Deep Dive

Artificial intelligence

What does GPT-3 “know” about me? 

Large language models are trained on troves of personal data hoovered from the internet. So I wanted to know: What does it have on me?

An AI that can design new proteins could help unlock new cures and materials 

The machine-learning tool could help researchers discover entirely new proteins not yet known to science.

DeepMind’s new chatbot uses Google searches plus humans to give better answers

The lab trained a chatbot to learn from human feedback and search the internet for information to support its claims.

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Illustration by Rose Wong

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