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#AviationSafety improved not just because technology got better, but because the industry developed systems for investigating accidents, sharing information, and learning from failures. Could #AutonomousVehicles benefit from a similar approach?
Autonomous vehicles generate vast amounts of data. But when companies keep that data proprietary, opportunities for industry-wide learning may be limited. The essay examines what greater #DataSharing could make possible.
One lesson from aviation: investigate failures systematically. Aviation accident investigations can help reduce the risk of repeat failures by identifying contributing factors and turning those findings into lessons for regulators, manufacturers, and operators.
The essay argues for applying a similar philosophy to autonomous vehicles: “zero repeats.” The idea? Instead of expecting a new technology to experience zero accidents, build systems that help ensure the same kind of failure doesn’t happen twice.
Building those systems raises difficult questions. What information should companies share? Who should analyze it? And how can lessons from individual incidents benefit the broader autonomous vehicle ecosystem?
As robotaxis and other autonomous vehicles enter more communities, how the industry learns from failures could shape both safety and public trust. Read the full essay: issues.org/autonomous-v...