Greg Twemlow argues that the primary danger of artificial intelligence is its excessive speed, which often bypasses critical human thought. Because AI produces polished and fluent results instantly, users frequently mistake this surface-level quality for deep understanding and personal authorship. To counter this "tilted terrain" of effortless acceptance, the author proposes a Context & Critique Rule designed to reintroduce necessary friction into the workflow. This framework utilises a reasoning trail known as a Context & Critique Graph to document the human's specific goals, critiques, and final approval. By making the cognitive process visible, users can confidently defend their work and ensure their judgment leads the machine rather than trailing behind it. This approach shifts the focus from merely prompting a tool to engaging in a traceable act of thinking. 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 (™).
