Over the past ten years, the application of artificial intelligence (AI) and machine learning (ML) in engineering domains has gained significant popularity.
This paper introduces the 'ABCDE' as the key elements of Engineering AI and proposes a unified, systematic engineering AI ecosystem framework.
The framework includes eight essential layers, along with attributes, goals, and applications, to guide the development and deployment of AI solutions for specific engineering needs.
The paper also examines key challenges and highlights nine future research directions to advance the implementation of AI in engineering.