DHS’s Initial AI Inventory: Verification Issues Highlighted by Watchdog Report According to a report from the Government Accountability Office (GAO), the Department of Homeland Security (DHS) did not properly certify whether the cybersecurity use cases listed in its AI inventory were genuine examples of artificial intelligence. One specific use case, Automated Scoring and Feedback (AS&F), was incorrectly characterized as AI when it was actually a predictive model for sharing cyber threat information. This raises concerns about the accuracy and reliability of DHS’s AI Use Case Inventory. The GAO faulted DHS for not fully implementing the AI Accountability Framework and recommended expanding the AI review process and ensuring the accuracy of inventory submissions. DHS has agreed to all eight recommendations proposed by the GAO, aiming to promote responsible and accountable use of AI and building public trust in the agency’s AI capabilities.
DHS’s Initial AI Inventory: Verification Issues Highlighted by Watchdog Report
A recent investigation has raised questions regarding the Department of Homeland Security (DHS)’s handling of Artificial Intelligence (AI) use case submissions. According to a Government Accountability Office (GAO) report, DHS was not confirming the authenticity of reported AI applications.