AI & ML Nature Is Weird

AI hiring tools are quietly building a corporate cult of "believers."

April 14, 2026

Original Paper

LLM Nepotism in Organizational Governance

Shunqi Mao, Wei Guo, Dingxin Zhang, Chaoyi Zhang, Weidong Cai

arXiv · 2604.09620

The Takeaway

LLMs used for recruitment don't just display demographic bias; they actively filter for candidates who express uncritical praise for AI. This creates a dangerous organizational feedback loop where critical oversight is systematically purged in favor of an AI-trusting monoculture.

From the abstract

Large language models are increasingly used to support organizational decisions from hiring to governance, raising fairness concerns in AI-assisted evaluation. Prior work has focused mainly on demographic bias and broader preference effects, rather than on whether evaluators reward expressed trust in AI itself. We study this phenomenon as LLM Nepotism, an attitude-driven bias channel in which favorable signals toward AI are rewarded even when they are not relevant to role-related merit. We intro