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A Human Discernment Architecture
Season 3
Episode 27
Published 1 month, 1 week ago
Description
Greg Twemlow argues that the rapid speed of AI generation poses a significant threat to human discernment and accountability. To counter the tendency to accept plausible but unexamined machine outputs, he proposes a structured framework called the Context & Critique Rule. This methodology emphasises slowing down to properly frame inquiries and rigorously testing results before they are approved. Twemlow introduces the roles of the Studio and the Discerner Architect to ensure that judgment remains a disciplined, visible human practice. Ultimately, the text serves as a call to prioritise cognitive integrity over mere technical efficiency in an increasingly automated world. 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 (™).
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 (™).