The Department of Homeland Security (DHS) unveiled new guidelines for the use of artificial intelligence in securing the border. These policies were developed by the DHS Artificial Intelligence Task Force (AITF) created by DHS Secretary Alejandro Mayorkas. According to DHS, AI has played a critical role in combating fentanyl trafficking, strengthening supply chain security, countering sexual exploitation, and protecting critical infrastructure.
As part of the announcement, DHS emphasized the importance of rigorously testing AI to ensure effectiveness and safeguard privacy, civil rights, and civil liberties while avoiding biases. DHS has extensively utilized AI technology along the southern border, particularly with the deployment of over 200 surveillance cameras to detect and flag human crossings.
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DHS Chief Information Officer (CIO) Eric Hysen has been appointed as the Department’s first Chief AI Officer to promote AI innovation and safety. Hysen, who testified before Congress, acknowledged the potential for unintended harm from AI and emphasized the agency’s interactions with individuals during critical times in their lives.
Academics have raised concerns about AI’s potential for racial profiling due to errors in identifying relationships in complex data. The new DHS policy allows Americans to decline the use of facial recognition technology in various situations, including air travel check-ins.
The new guidelines from DHS require that facial recognition matches discovered using AI technology be manually reviewed by human analysts to ensure their accuracy. This directive will be released alongside the AI policy memo.
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During the congressional hearing, Hysen highlighted a recent case at California’s San Isidro Port of Entry where advanced machine learning models were used to flag a seemingly ordinary car as suspicious. Subsequent inspection led to the discovery of 75 kilograms of drugs hidden in the car’s gas tank and rear quarter panels.
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Reuters contributed to this report.
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