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AI and the Emerging Crisis in Academic Peer Review

How artificial intelligence is reshaping quality and incentives in scholarly publishing

Organization Science1 min

1A Turning Point in Academic Evaluation

The integration of AI technologies into academic publishing is fundamentally transforming traditional peer review systems. The article begins by examining the opportunities and risks of this shift, particularly highlighting the threat to the balance between research quality and publication quantity.

2The Role of Incentive Systems

Publication-count-focused incentives in academic careers are fueling rapid AI-assisted production. The study reveals how this threatens research integrity long-term, supported by statistics. It emphasizes distortions in university performance metrics that prioritize quantity over quality.

3AI's Dual Impact

While AI tools accelerate literature reviews and data analysis, they also facilitate low-quality paper production. The article discusses optimal balance models between automated generation and human oversight, with particular focus on challenges in detecting synthetic data.

4Interdisciplinary Differences

AI's impact varies significantly between STEM and social sciences. Quantitative fields face more pronounced automation risks, while qualitative research shows more resistance. This section compares cross-disciplinary solution proposals for maintaining research integrity.

5Global Academia's Adaptation Efforts

Publishing boards and indexes are developing new filtering systems against AI-generated content. The paper examines infrastructure updates by platforms like Crossref and Scopus, but warns institutional adaptation may lag behind technological advancement.

6Future Outlook

The research proposes a framework aligning academic integrity with technological progress. It suggests AI ethics guidelines, open science movements, and next-generation evaluation metrics. The conclusion emphasizes transforming this crisis into an opportunity for scholarly advancement.

Original article: Organization Science — Yapay Zeka ve Akademik Değerlendirme Krizinin Yükselişi