China Won’t Win the Race for AI Dominance

Once upon a time, Japan was widely expected to eclipse the United States as the technological leader of the world. In 1988, the New York Times reporter David Sanger described a group of U.S. computer science experts, meeting to discuss Japan’s technological progress. When the group assessed the new generation of computers coming out of Japan, Sanger wrote, “any illusions that America had maintained its wide lead evaporated.”

Replace “computers” with “artificial intelligence,” and “Japan” with “China,” and the article could have been written today. Read More

#china-vs-us

Mainframes: A Provisional Analysis of Rhetorical Frames in AI

When it comes to artificial intelligence, the headlines suggest that great powers are engaged in an AI arms race: “For Superpowers, Artificial Intelligence Fuels New Global Arms Race,” reads one story in Wired. “China is Winning a New Global Arms Race,” observes Bloomberg Markets and Finance. One report in The Wall Street Journal asserts, “The New Arms Race in AI.” To what degree do these headlines accurately represent elite opinion about AI?

Framing technological competition as an “AI arms race” or “battle for supremacy” has implications for policy, security, and international cooperation. Read More

#china-vs-us

A Radical New Model of the Brain Illuminates Its Wiring

Network neuroscience could revolutionize how we understand the brain—and change our approach to neurological and psychiatric disorders.

In mid-19th century Europe, a debate was raging among early brain scientists. Strangely, this academic disagreement had its roots in the pseudoscience of phrenology, the practice of measuring bumps on the skull to determine someone’s personality. Phrenology had found purchase at fairs and was quite popular with the general public, but it had been roundly rejected by most scholars. For others, though, this carnival trick held a pearl of inspiration. Phrenology depended on the assumption that different parts of the brain are associated with different traits and abilities, a position called “localizationism.” And the absurdity of skull-measuring did not necessarily invalidate this notion.

But others disliked the stench of charlatanism that clung to any ideas associated with phrenology. This second camp contended that capacities are evenly distributed throughout the brain, and so damage to any one brain region would have the same effect as damage to any other. The debate between these groups raged until 1861, when Paul Broca, a French neurologist, reported on a patient with a bizarre set of symptoms. Though this man could not speak, he was entirely capable of understanding language, and his intelligence seemed unaffected. When the patient died and Broca dissected his brain, he discovered a lesion, or site of severe damage, low on the left side of his brain. Here was an individual who had sustained brain damage in a specific area and had lost a very specific ability—while the rest of his functions remained intact! Localizationism had been vindicated. For the next 150 years, it would be the dominant position in brain science. Read More

#human

There is a crisis of face recognition and policing in the US

When news broke that a mistaken match from a face recognition system had led Detroit police to arrest Robert Williams for a crime he didn’t commit, it was late June, and the country was already in upheaval over the death of George Floyd a month earlier. Soon after, it emerged that yet another Black man, Michael Oliver, was arrested under similar circumstances as Williams.  While much of the US continues to cry out for racial justice, a quieter conversation is taking shape about face recognition technology and the police. We would do well to listen.

When Jennifer Strong and I started reporting on the use of face recognition technology by police for our new podcast, “In Machines We Trust,” we knew these AI-powered systems were being adopted by cops all over the US and in other countries. But we had no idea how much was going on out of the public eye.  Read More

#surveillance