Harvard Business Review LogoJuly 22, 2026Illustration by Vasya KolotushaOrganizations are rushing to embed AI into core decisions, but frontline workers are left to explain outputs they neither created nor fully understand. In a multi-year field study spanningOrganizations are rapidly embedding AI into decisions that were once considered the domain of human experts—from hiring and lending to healthcare and public administration. But what is often overlooked is what happens at the employee level, when workers are expected to communicate, justify, and defend the AI-generated decisions they did not make and often do not fully understand.
When Employees Are Held Accountable for AI-Generated Decisions
Organizations are rushing to embed AI into core decisions, but frontline workers are left to explain outputs they neither created nor fully understand. In a multi-year field study spanning banking, recruitment, and biotechnology, researchers found that employees rarely relay AI results verbatim; they mask, amplify, or complement them depending on how the AI has been implemented. These hidden practices shape whether AI is trusted, resisted, or quietly subverted—and where professional risk lands. To minimize risk while using AI, companies need to help workers develop new interpretive roles, maintain critical scrutiny, and turn explainability from a compliance exercise into a source of learning and better decisions across the enterprise.
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