How the Aerospace Technology Institute clears AI use cases for landing in the aerospace industry with Capgemini
Do aerospace engineers trust AI enough to adopt it? AI has the potential to improve productivity, address engineering skills shortages, accelerate product development and strengthen maintenance operations in the aerospace sector, however aerospace remains a safety-critical industry and therein lies the challenge.
In response the Aerospace Technology Institute (ATI) and Capgemini have joined forces to provide a report featuring credible applications of AI across design, manufacturing and through-life support in the aerospace sector. These use cases complement Capgemini’s own research findings that I recently discussed with Mike Dwyer, Capgemini’s UK Head of Intelligent Industry.
Training AI models for aerospace design must be technically valid not “plausible”
One of the hurdles in establishing trust in AI tools for aerospace design, is that faster design exploration must not come at the expense of technical validity, physical realism or engineering accountability. Large Language Models (LLMs) and other generative systems can produce convincing...
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