Bias-Aware Assessment - The New Science of Recruiting

Greg Twemlow's article introduces Bias-Aware Assessment (BAA) as a novel recruiting method focused on evaluating how candidates think and make decisions rather than just their past experiences. BAA aims to overcome the limitations of traditional hiring, which often rewards polish over genuine judgment and can be susceptible to unconscious bias. The article outlines the framework of the BAA MVP, detailing its adaptive, scenario-based questioning and AI-driven scoring system designed to reveal a candidate's cognitive profile and strategic alignment with a role. Furthermore, it explains how recruiters can use BAA to define target cognitive profiles and assess candidates based on their decision-making DNA. Finally, the piece previews BAA V2, which will offer multi-spectrum cognitive profiling to capture the complexity of real-world roles better. Read the article on Medium.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 (™).