Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee Listening

Research indicates that Large Language Model (LLM) summarization of employee feedback, a practice increasingly adopted by organizations to route insights to leaders, introduces significant representational biases. This process disproportionately silences unique or less frequent voices, particularly criticisms voiced by a single employee, and exhibits a bias against shorter content and non-English submissions, irrespective of sentiment.

The widespread adoption of LLMs for internal communication, particularly in summarising employee feedback, poses a significant risk to organizational understanding of employee sentiment and concerns. Biases in these systems can lead to an inaccurate perception of the workforce, potentially hindering effective decision-making, fostering disengagement, and undermining trust in leadership.

Organizations are increasingly utilizing LLMs to summarize employee feedback for leadership, creating an unaudited layer in the communication process.

Forward consideration, not a verified fact.