AI and Systems Engineering: A Decade of Progress and Gaps.
Key takeaways
- The AI and Systems Engineering field has evolved through foundational, applied, and LLM inflection phases.
- Critical research gaps remain in the integration of AI into Systems Engineering.
- A human-AI literature review identifies key areas for future focus.
- Practitioners need guidance on AI adoption, assurance, and workforce transformation in SE.
Who benefits
Summary
This article reviews the evolution of AI and Systems Engineering (SE) over the past decade, identifying three phases of progress and critical research gaps. It also presents a human-AI agreement literature review to assess the relevance of publications and guide practitioners in AI adoption within SE.
Why it matters
This review provides a valuable roadmap for professionals in Systems Engineering and AI, offering insights into past developments, current trends, and future research directions. It helps practitioners understand where to focus their efforts for successful AI integration and addresses critical challenges in assurance and workforce adaptation.
How to implement this in your domain
- 1Review the identified research gaps to inform strategic planning for AI integration in SE projects.
- 2Utilize the AI4SE/SE4AI Explorer web application to assess the relevance of publications for specific needs.
- 3Develop training programs to upskill the workforce in AI and SE integration.
- 4Establish clear guidelines and frameworks for AI assurance in systems engineering contexts.
- 5Engage with the research community to contribute to addressing the identified critical gaps.
Original post by H. Sinan Bank, Daniel R. Herber, Thomas Bradley
"arXiv:2606.19630v1 Announce Type: new Abstract: The March 2020 INCOSE INSIGHT special issue on AI and Systems Engineering (SE) became the most downloaded issue in the publication's history and launched a research community that now draws over 250 registrants to its annual worksho…"
View on XOriginally posted by H. Sinan Bank, Daniel R. Herber, Thomas Bradley on X · view source
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