FAA Deploys AI Advisory Tool at Three DC Airports

The Federal Aviation Administration has begun using an artificial intelligence tool at major airports in the Washington, D.C., region. The software, known as SMART, is designed to analyze complex air traffic data to help controllers manage congestion and weather disruptions more effectively.

While the agency presents the system as a major efficiency upgrade, many aviation professionals remain cautious. The core debate centers on whether an algorithm can reliably process the constant stream of changing flight data without introducing dangerous errors or confusing human operators.

System analyzes data but does not fly

SMART does not control aircraft or issue mandatory commands. Instead, it aggregates roughly 200 different data streams, including weather patterns, flight paths, and staffing levels, into a single visual platform. An AI engine processes this information to provide controllers with recommendations on where potential bottlenecks might form.

The tool is currently limited to three airports: Ronald Reagan Washington National, Dulles International, and Baltimore/Washington International. It operates out of the FAA’s command center in Virginia, where recommendations are sent to regional towers. Human controllers retain the final authority and can choose to ignore any suggestions generated by the software.

Experts fear unreliable data inputs

Skepticism is driven by concerns over how the system handles real-time information. S. Todd Yeary, a former air traffic controller, noted that AI models can sometimes generate false information. In aviation, where conditions change by the second, data fed into the system cannot be assumed to remain reliable over time.

A specific concern is the tracking of pilots flying under visual flight rules. These aircraft do not appear in standard digital schedules, meaning they are invisible to automated systems. Experts argue that only a human controller can manually identify and manage these flights, a task that an AI relying on pre-existing data might overlook.

Industry confusion over rollout scope

Airlines initially expressed alarm over vague official descriptions of the project's scope. The uncertainty caused weeks of industry confusion until the FAA clarified that the tool would be used in a limited capacity. The primary worry for carriers was how deeply the AI would be integrated into daily management.

The system was developed by Air Space Intelligence, which secured an $875 million government contract for the project. While officials view SMART as a potential backbone for future national air traffic control, The Week reports that the current rollout is a cautious pilot. The trade-off is clear: the FAA gains processing power, but it must rely on human judgment to override potentially flawed algorithmic suggestions.