FAA, DOD data silos were partly to blame for last year’s DCA crash

Inadequate information-sharing and deficient data practices across the Federal Aviation Administration and Department of Defense were to blame, in part, for the midair collision near Ronald Reagan Washington National Airport last year, according to the National Transportation Safety Board’s final report. NTSB found that the FAA’s Air Traffic Organization was “made aware of and had multiple opportunities to identify the risk of a midair collision between airplanes and helicopters,” yet insufficient data analysis, safety assurance systems and risk assessment processes “failed to recognize and mitigate.” While the Army was “unaware” of certain risks tied to DCA due to a nonexistent flight safety data-monitoring program for its helicopters, NTSB also found the Army had a weak safety management system that failed to consistently detect hazards. “The limited access to and use of available objective and subjective proximity data hindered industry and government stakeholders’ ability to identify hazards and mitigate risk,” NTSB said in its report. As part of NTSB’s analysis, the watchdog had 50 to 60 staff members on the investigation, who gathered 19,000 pages of evidence, Jennifer Homendy, chairwoman of the NTSB, testified during a Senate hearing Thursday. The collision, ultimately, was preventable, she said.

After successfully launching its own internal chatbot and normalizing the use of artificial intelligence tools for translation, summarization and other diplomatically beneficial uses, the State Department is eyeing the next step in its journey with the emerging technology. “We’re going to roll out agentic AI,” State Department CIO Kelly Fletcher said Thursday during the FedScoop-produced GDIT Emerge event in Washington, D.C. “We’re going to continue to embed AI in our systems.” The State Department has been a federal leader in AI adoption, reflected in robust use case inventories and a general embrace of the technology at its highest levels. Current tech leaders remain focused on trying to “democratize access to generative AI” throughout the agency, Fletcher said. That likely means that any shift toward agentic AI won’t come with a snap of the fingers. Still, the department is currently looking to “consolidate and standardize and simplify around commodities,” she said, which could cover everything from end-user devices to help desks. “It sounds really wonky,” Fletcher added, but “the more you can make it easy for people to do their job, to reduce administrative friction, the better off you’re going to be, right? Part of that is agents. Part of that is consolidation.”

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