Must-Have Necessities and Unavoidable Limits The degree to which rotorcraft companies are
using AI
underlines a key fact: for many of them, AI has become a necessity.
“I think AI has become a ‘must-have’ in the helicopter industry, because if you don’t have it, you risk losing ground to your competitors,” said Cavanna. “This is because AI lets you make more sense of your data. It helps you come up with new ideas that you might not tap into on your own.”
Church agreed. “Some elements of AI are must-haves for Aurora Flight Sciences’ processes today,” he said. “For example, we design cutting-edge drone technology. AI helps us engineer the best products, test technologies in simulated environments, and maximize safety and data quality when testing in flight.”
At the same time, “AI/ML is only as good as the training data that is used. Just like any computational system, if the inputs are garbage, the output will be garbage too,” Dietrich said.
“AI cannot yet perform in a reliable way in all scenarios, so humans must always be in the loop,” Church said. “It’s hard to say when AI will be reliable enough to operate truly autonomously, without being partnered with or supervised by a human.”
This is why Cavanna recommends viewing AI-generated data with a grain of salt, and leaving final decisions to analytically minded humans. “You can’t afford to become too dependent on AI and let it do all the work for you — because such an approach would be hard to
justify, especially to certifying
bodies,” he observed. “This makes our industry, which is very prudent, a little bit slower in adopting AI for obvious reasons because safety comes first.”
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