ended5월 3일· 1 sources
알고리듬 채용에서의 AI 자기선호: 실증 증거와 시사점
Why it matters
The emergence of AI self-preference in resume screening introduces a new systemic bias where evaluators favor content generated by the same or similar LLMs. This shift means hiring outcomes may depend more on stylistic alignment between AI models than on a candidate's actual qualifications, posing a significant challenge to digital equity in the labor market.
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AI self-preferencealgorithmic hiringresume screeningLLM biasrecruitment fairnesscounterfactual evaluation