AI in the Context of Complex Intelligent Systems: Engineering Management Consequences

As artificial intelligence (AI) is increasingly integrated into the context of complex products and systems (CoPS), making more intelligent, this article explores consequences implications for engineering management in emerging intelligent (CoIS). Based on five aspects, including design objectives, system boundaries, architecting modeling, predictability emergence, learning adaptation, a case study representing future CoIS illustrates how these as well their relationship to criticality generativity, emerge AI becomes an part system. The findings imply that combined perspective allowing generativity maintaining or enhancing necessary, notably, results suggest understanding integrators CoPS partly fundamentally alters complemented with emergence CoIS. puts adaptation characteristics foreground, i.e., are associated generative fluid new modeling approaches, challenges predictability. notion bounded suggested emphasize combination direction transforming contexts demands approaches designing safeguard its important societal functions.