Abstract Artificial intelligence (AI), and in particular, generative AI, burst abruptly onto the systems engineering scene. The first generative AI was made available to the general public just four years ago, yet McKinsey estimates that almost three‐quarters of all companies use it in at least one of their business units. Engineers are adjusting to this phenomenal rate of change while trying to get their already fast‐paced work done. This paper is intended to provide a brief introduction as to how AI can help within the systems engineering life cycle and what cautions and caveats apply, as well as the results of an experiment with submitting three SE‐related questions to three popular AI models. The paper concludes with recommendations for practitioners, managers, and INCOSE regarding AI adoption.
Sarah Sheard (Tue,) studied this question.