Pentagon AI chief: „If we don’t do large-scale labeling…“

Pentagon AI chief: „If we don’t do large-scale labeling…“

Washington, 1/3/0/2023

According to Pentagon AI chief Crag Martell, the US needs to step up data collection and labeling to better compete with China in AI.

Speaking at a warfare symposium in Colorado, Martell said the US must find ways to label data for large-scale AI training or risk losing the AI race to China.

Basically, the US must first „get the data right“ and then have „great analytics“ to stay ahead in the race, Martell said. „If we want to beat China, and we need to beat China in AI, we need to find a way to label at scale,“ he said. „Because if we don’t tag at scale, we’re not going to win.“

Martell, who was previously Lyft’s head of machine learning, was named the Pentagon’s chief digital and artificial intelligence officer (CDAO) last April.

The CDAO is the Pentagon’s top official responsible for accelerating AI, digital solutions, and data integration at the department. He oversees the Pentagon’s Joint Artificial Intelligence Center, Chief Data Officer and Defense Digital Services, and reports directly to Assistant Secretary of Defense Kathleen Hicks.

As of 2021, the US Department of Defense was working on nearly 700 AI projects.