AI 생성 연구가 동료 평가를 범람
성능이 향상된 AI 모델 덕분에 논문 공장들이 설득력 있는 과학 논문을 대량 생산할 수 있게 되었고, 이를 감지하지 못하는 편집자와 심사자들이 압도당하고 있습니다.
researchers at the university of zurich traced a surge in citations to a 2017 paper back to ai-generated studies on the global burden of disease dataset. they discovered a chinese company advertising tools that allow users to churn out specific predictions, such as stroke likelihood or cancer rates, using large language models with minimal effort. while the papers contain methodological errors, they are sufficiently sophisticated to evade current screening mechanisms that previously relied on detecting obvious ai hallucinations. experts warn that generative ai is scaling the operations of paper mills, creating a crisis of reproducibility and burdening the limited supply of human peer reviewers.