About this Presentation

We present substantial advancements in the application of artificial intelligence (AI) to automate Theory of Constraints Thinking Processes and examine their ramifications. We provide several examples of creative problem-solving by combining ChatGPT, an advanced large language model by OpenAI, with the Theory of Constraints (TOC) Thinking Processes, TRIZ inventive principles, and rapid approaches to evaporating cloud formulation. The session builds upon the speaker's 2020 TOCICO presentation, which introduced the use of the Reiss profile, a psychological instrument, to swiftly identify underlying human motivations in conflicts. In one approach, structured templates guide ChatGPT to identify an underlying conflict within narrative text, develop a coherent evaporating cloud for it, and then generate solutions using TRIZ separation principles. Furthermore, we explore the use of analogous templates for creating nodes of Strategy and Tactics Trees, and working with the Change Matrix along with its metaphors of the alligator, pot of gold, crutches, and mermaid. We will discuss both the current limitations and the risks of exponentially improving artificial intelligence, and how the win-win ethics of the Theory of Constraints might help mitigate doomsday scenarios implied by AI eclipsing human intelligence.

What Will You Learn

To help you get the most value from this session, we’ve highlighted a few key points. These takeaways capture the main ideas and practical insights from the presentation, making it easier for you to review, reflect, and apply what you’ve learned.

Plane
Chat GPT can be used to automate many systems thinking processes, including the thinking processes in TOC.
Chat GPT is great at abstraction, which is crucial in organizing complexity and can generate surprisingly insightful conflicts.
Chat GPT can be used to write software, define requirements and generate code.

Instructor(s)

Christophe Lambert Ph.D

Christophe G. Lambert, Ph.D., is a Professor of Medicine and Division Chief of Translational Informatics at the University of New Mexico. He is also the founder, past CEO and current Chairman of Golden Helix, a Bozeman-based bioinformatics company. Throughout his career, he has applied systems thinking to the challenging problems affecting life sciences and healthcare research, with numerous articles and presentations diagnosing systemic problems and prescribing the change management required for improvement. As a lifetime TOCICO member, certified in the Theory of Constraints (TOC) Fundamentals (2004) and Thinking Processes (2006), he applied TOC within his own company for a decade, and currently applies it to problems in mental and organizational health. Originally from Canada, Dr. Lambert received his bachelor’s degree from Montana State University, and a PhD in computer science from Duke University.

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