Despite their huge potential, artificial intelligence and biometrics still very much need human input for accurate identification, according to the director of the Defense Advanced Research Projects Agency. Speaking at an Atlantic Council event, Arati Prabhakar said that while the best facial recognition systems out there are statistically better than most humans at image identification, that when they're wrong, "they are wrong in ways that no human would ever be wrong". "I think this is a critically important caution about where and how we will use this generation of artificial intelligence," she said, reported FedScoop. "You want to embrace the power of these new technologies but be completely clear-eyed about what their limitations are so that they don't mislead us," Prabhakar said. That's a stance humans must take with technology writ large, she said, explaining her hesitance to take for granted what many of her friends in Silicon Valley often assume -- that more data is always a good thing.