Professor helps teach computers to teach themselves

Daniel Lowd, associate professor of CIS


From self-driving cars to Google searches, artificial intelligence-AI-is everywhere. Computers the world over are analyzing data and making decisions without human oversight.

But you still need people to train computers to think for themselves. People like Daniel Lowd.

Lowd specializes in “adversarial machine learning.” Acting as an adversary or attacker, he tries to fool computers by supplying deceptive information, the goal being to help the machines learn for themselves how to avoid manipulation by real attackers.

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