AI-Assisted Papers Strain Peer Review System

TL;DR. The surge in research and AI-assisted papers overwhelms volunteer peer reviewers, causing delays and compromising review quality. - Reviewers devote an estimated 15,000 collective years annually, an uncompensated effort valued at .5 billion in the US alone. - Journals struggle to find qualified reviewers as publication volume increases exponentially by 5.6 percent each year. - The system’s integrity faces challenges from misinterpretations and lack of thorough review, leading to rejections.

• The volume of scientific papers, including AI-assisted ones, is increasing exponentially, putting immense pressure on the peer review system.
• Volunteer reviewers are struggling to keep up with the workload, leading to delays, less thorough reviews, and increased rejection rates.
• The uncompensated nature of peer review, valued at billions annually, makes it difficult for researchers to dedicate the necessary time.
• The current system's reliance on a limited pool of experts is becoming unsustainable with the rapid growth in research output.

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