![]() This could cause serious problems given that Homeland Security has access to sensitive personal information about the American public. Some people fear that in the rush to implement AI and ML solutions for urgent problems and fierce competition for government funding, the accuracy and security of these systems might not be as high as it should. Widespread use of AI has two major public concerns : data privacy and the susceptibility of malicious manipulation and hacks. However, AI for Homeland Security also has its drawbacks. Fueled by sensors, data digitization, and ever-increasing connectedness, AI filters, associates, prioritizes, classifies, measures, and predicts outcomes, allowing the Federal government to make more informed, data-driven decisions. He stated:ĪI technology is increasingly providing us with new knowledge and informing our actions. It takes automated techniques to do that.”ĭouglas Maughan described the role of AI in his testimony during an oversight hearing while he was Cybersecurity Division Director of Homeland Security Advanced Research Project Agency. Patrick Carrick, former Chief Scientist of the Department of Homeland Security Science and Technology Directorate (S&T), described it thus: “Eventually data becomes so large, no person can understand it or use it effectively. Using machine learning and artificial intelligence technology for Homeland Security was inevitable.ĭr. This includes anything to do with potential threats to the nation, ranging from border security to cybersecurity, so “big data” would be an understatement. Its mandate is to “keep America safe,” and that encompasses many fronts. ![]() The Department of Homeland Security (DHS) routinely handles large amounts of data. ![]()
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