Reclaiming Accountability in the Machine Age
Evidence → Cognition → Discernment™️ - Your Pathway to AI LeadershipShow Notes
In this article, Greg Twemlow explores the intersection of human accountability and modern technology by drawing parallels with the management philosophy of legendary engineer Clarence “Kelly” Johnson. Twemlow argues that while Johnson's "Skunk Works" model prioritised speed through lean organisation, the modern era has mistakenly adopted rapid output at the expense of personal responsibility. To combat the risk of mindless automation, the author introduces the Context & Critique Rule™, a cognitive protocol designed to reinsert human judgment into the AI-driven workflow. He posits that individuals must act as "Discerners" who critically evaluate machine-generated results rather than accepting them at face value. Ultimately, the text emphasises that as AI handles the mechanics of production, the most valuable human skill remains the willingness to own the consequences of one's work. This framework serves as a modern adaptation of Johnson’s principle that the creator must personally test and stand behind their product to maintain true competence. Read the article.
About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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