Artificial Intelligence Systems

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Get Your First Quick Win with Generative AI

Guest Speaker:
Kevin Dewalt, Prolego

Thanks Kevin for a great talk!

For several decades, harnessing AI demanded substantial investments in data, infrastructure, and talent. However, since GPT-4's launch in March 2023, teams without AI or ML expertise have started deploying LLMs as a general-purpose technology. Kevin Dewalt from Prolego will explain how you can do the same. He will present case studies of successful initiatives, methods for spotting opportunities, and the essential steps to deploy your initial AI solution.

ChatGPT for Systems Engineering

Catch the replay of our two workshops at the INCOSE International Workshop:

ChatGPT for Systems Engineering - Session 1 (1 hour session--interactive workshop with some presented examples)

ChatGPT for Systems Engineering - Session 2 (90 minute session with more presented material and examples and additional workshop discussion)

Posted on our members only page, and also in the INCOSE Library 

Replay of our last AI Explorer from December also available

Working Group Purpose & Mission


The INCOSE AI Systems WG was established as a result of the Future of Systems Engineering (FuSE) initiative in 2019. The purpose of the AI Systems WG is to identify and communicate emerging AI technologies that appertain to industries of the Future. The AI Systems WG seeks to establish INCOSE as a recognized resource of expertise for research, development, and application of AI systems.

Transformation Enablers

TechOps Domain






Barclay Brown


Ali K. Raz

Ramakrishnan Raman

Tom McDermott


This WG will address use of AI within Systems and using AI as part of the Systems development. The WG will encourage research to be conducted by members or via collaboration with other organizations.


The general goals of the AI Systems WG are to identify needs of the international AI community (industry, academia, government) which are well-suited for contributions by INCOSE, and to provide expertise across SE functions and lifecycle management that can be used by industry to promote the development of AI Systems. The specific goals are to: 1) identify and communicate emerging AI technologies that can be applied to the engineering of systems (AI for SE), including AI that appertains to industries of the Future, and 2) develop and communicate advances in SE methods needed to effectively engineer systems with embedded AI (SE for AI). To meet these goals, the following research objectives have been identified:
  • Explore Human-AI collaboration
  • Evaluate Safety and Security of AI systems
  • Measure and evaluate AI technologies through standards and benchmarks
  • Understand and promote workforce development and STEM initiatives
  • Contribute to public-private partnerships and affiliations to accelerate advances Establish best practices for using AI techniques in Systems and Systems Engineering
Customers/Stakeholders in the AI Systems WG include INCOSE members, chapters, WGs, Corporate Advisory Board, Academic Council and affiliates.


  • AI Explorer Series (recordings posted in iNet)
  • AI Systems Primer (in progress)
  • IW2023 Lightning talk series in MBSE program

Recordings from this Event Coming Soon

IW23: International Workshop Focus

SE AI/Machine Learning Workshop

IW2023, Sunday, January 29

MBSE TED-Like Lightning Round is focused on Artificial Intelligence (AI) and Machine Learning (ML).



(Barclay Brown, MC)

10:30-11:00, Opening: Three Wakeup Calls for AI and SE and AI Systems WG Update, Barclay Brown

11:00 – 11:30, Keynote 1: AI in Defense and Aerospace, Tod Newman, former AI Lead, Raytheon Technologies

11:30 – 11:50, Roadmap for AI and SE, Tom McDermott

11:50 – 12:00, Discussion: Priorities for AI and SE in 2023

12:00-13:00, Lunch


(Ali Raz, MC)

13:00-13:20, Time slot 1: Digital Assistance for Systems requirements Discovery and Analysis Using Machine Learning Natural Language Processing Algorithms (Nipa Phojanamongkolkij)

 (Alessandro Migliaccio)

13:40-14:10, Time slot 3 – Use NLP to Create Behavior Models from Natural Language Text, Steve Dam, SPEC Innovations

14:00-14:20, Time slot 4  - Agent-Based Modeling from a Systems Engineering Approach  (Rebekah Yang)

14:20-14:40, Time slot 5 - AI/ML Risk Management Approach for Federal Agencies (PACE Concept) (John Crissman)

14:40-15:00, Time slot 6 – (CHALE GONGORA Hugo Guillermo)

15:00-15:30, Break

15:30-15:50, Time slot 7: MBSE to support AI Digital Assistant solutions (Ricardo Reis)

15:50-16:10, Time slot 8 - Staying Fresh and Relevant: Book Review of Mathematical Intelligence, by Junaid Mubeen, and The Myth of Framework by Karl Popper (Josh Sparber)

16:10-16:30, Time slot 9 – Test and Evaluation of AI Systems with Explainable AI and Counterfactuals (Ali Raz)

16:30-17:00, Time slot 10 – Quick Overview of AI Primer, with Discussion and Feedback (Ali Raz, Ramakrishnan Raman) 17:00-17:30, Speaker Interaction/Q&A session and wrap-up


Planned Activities

  • AI Explorer programs - ongoingthing 2
  • Monthly all-WG meetings
  • Weekly leadership check-in meetings
  • Weekly AI Primer editorial meetings

Planned Work Products

  • AI Systems Primer - Q2 2023
  • Self-Guided AI Education - Q2 2023
  • AI Explorer programs - ongoing


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