AI Conference Overload: Organizers Cap Paper Submissions

Artificial intelligence (AI) conferences are drowning in paper submissions. In response, organizers are setting limits on how many papers each researcher can submit. The number of AI papers has grown rapidly in recent years. This surge has overwhelmed reviewers, who check papers for quality before acceptance. Many qualified reviewers simply cannot keep up. Submission caps aim to ease this burden. By limiting entries per researcher, conferences hope to reduce reviewer workload and speed up the review process. The policy also targets a common practice: submitting many similar papers at once. Supporters say caps will push researchers to focus on fewer, higher-quality papers. Critics worry the limits could hurt junior researchers, who often rely on multiple submissions to build their careers. Some also fear the rules may be hard to enforce fairly. Conference organizers say the changes are necessary. Without them, they warn, the peer review system — the backbone of academic publishing — may not survive.