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Artificial intelligence won’t revolutionize anything if hackers can mess with it. That’s the warning from Dawn Song , a professor at UC Berkeley who specializes in studying the security risks involved with AI and machine learning. Speaking at EmTech Digital, an event in San Francisco produced by MIT Technology Review, Song warned that new techniques for probing and manipulating machine-learning systems—known in the field as “adversarial machine learning” methods—could cause big problems for anyone looking to harness the power of AI in business. Song said adversarial machine learning could be used to attack just about any system built on the technology. “It’s a big problem,” she told the audience. “We need to come together to fix it.” Full story

26 March