As AI increasingly automates tasks, the crucial role of humans shifts to upstream activities like problem-solving and defining purpose. The article highlights how AI's efficiency in generating outputs can overshadow the essential human capacity to question the meaning and intent behind those actions. The author introduces the concept of the "Problem Definition Architect," a vital role focused on framing the right questions and ensuring efforts align with genuine human needs and values. This evolution requires individuals and organisations to prioritise critical thinking, empathy, and ethical considerations over mere execution. The piece argues that in an AI-driven world, our unique human contribution lies in discerning what truly matters and guiding technology towards meaningful goals. Ultimately, the article advocates for a shift towards roles that harness human insight to effectively guide AI's capabilities. 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 (™).
