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Basil C. Puglisi

Artificial Intelligence (AI) & Digital Marketing Since 2009

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Evocative Audit

The Evocative Audit: What Metrics Cannot Carry in AI Bias

March 25, 2026 by Basil Puglisi Leave a Comment

Split composition showing structured performance data dissolving into human elements of photographs and handwritten text, representing the gap between algorithmic metrics and human-cost evidence in AI auditing.

Dr. Joy Buolamwini’s 2022 MIT thesis defines the evocative audit, a formal method that pairs lived experience with documented evidence to show harm that metrics cannot carry. A three-sentence comment from Dr. Timnit Gebru showed where the book chapter on Buolamwini fell short, and what AI governance misses when it counts only numbers.

Filed Under: AI Artificial Intelligence, AI Governance, Code & Technical Builds, Data & CRM, Multi-AI Governance, Policy & Research, Thought Leadership Tagged With: AI accountability, ai bias, AI Governance, Algorithmic Audit, Black Feminist Epistemology, Checkpoint-Based Governance, Counter-Demo, Evocative Audit, Gender Shades, Joy Buolamwini, Timnit Gebru, Unmasking AI

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