Verification, Not Intelligence, Is Aerospace's Real AI Constraint
Aerospace is racing to apply AI to software and autonomy, but verification and explainability capacity, not model quality, is what will set the pace.
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Artificial Airmanship Outpaces the Certification Framework Meant to Govern It
As AI takes on flight-critical judgment in autonomous aircraft, regulators and operators still lack a settled answer for who holds operational control.
Aviation Is Building a Second Certification Track for Autonomy
EASA's SAIL rating for Shield AI's V-BAT signals that autonomy and inference stacks now need their own assurance case, separate from the airframe.
Aviation's Assurance Gap Meets Autonomous AI
Aircraft certification and inspection regimes are built for deterministic systems, and the emerging autonomy stack is exposing what that model cannot see.
Certifying the Pilot, Not Just the Plane
Trainer aircraft are teaching pilots to fly alongside autonomous wingmen, but no certification standard yet defines competency in human-autonomy teaming.
The Chip in the Loop: Delivery Drones and the Assurance Gap
Wing's evaluation of a new Nvidia AI module for delivery drones exposes an unresolved question: who owns the airworthiness case when compute hardware is sourced, not certified.
The Navigation Layer Nobody Is Certifying
Autonomous flight certification and insurance debates focus on AI decision logic while the GNSS positioning layer beneath it remains a separate, less mature assurance problem.
AI Autonomy's Blind Spot Is the Signal It Trusts
Aerospace AI assurance cases assume clean navigation data, but PNT signals are now contested terrain that most safety cases never model.
