DHS S&T Investigates Artificial Intelligence, Machine Learning for Homeland Security
Tuesday, October 09, 2018 | Comments

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) touted artificial intelligence (AI) and machine learning (ML) for improving homeland security operations. AI can, for example, help responders and law enforcement prioritize large amounts of data from a variety of different places to expedite decision-making.

“Eventually data becomes so large, no person can understand it or use it effectively,” said Dr. Patrick Carrick, chief scientist at DHS S&T. “It takes automated techniques to do that.”

Carrick assembled a community of interest (COI) for anyone in DHS with an interest in the subject. Hundreds of people attended, both online and in person, to discuss the expected threats and opportunities associated with AI and ML.

Carrick formed the COI to understand what the department is trying to do with the technologies, where the impacts are and how many people are interested. During the event, Carrick provided an overview of the state of the art in AI/ML, describing its wide-ranging implications for the department and detailing plans for the future of the community. This was followed by questions and comments from various components. The event continued with talks from other members of S&T, featuring a demonstration of an open source AI development platform followed by a discussion of the relationship between AI and the human mind.

“Not all AI/ML is relevant to everyone and what they’re doing,” said Carrick, citing perspectives on AI/ML that may deserve their own conversations, such as finance or transportation safety. “There is so much going on across so many different sectors. We want to make it so those with shared interests can go off and work on things together, then share their findings with the group and across the entire department.”

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