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AAAI Conference combats surge in AI-assisted dual submissions

By PulseAugur Editorial · [1 sources] ·

The AAAI Conference on Artificial Intelligence has identified a significant increase in dual submissions, where identical or similar papers are submitted to multiple venues without disclosure. During the AAAI-26 review process, organizers found 141 submissions that were desk-rejected due to being duplicates. This rise is attributed to the growing accessibility of generative AI tools, which facilitate the creation of papers that use different wording to convey the same contribution, making detection more challenging and time-consuming. The conference proposes several recommendations, including updating submission policies, implementing dual-submission checking tools before submission deadlines, fostering cross-venue collaboration on consistent policies and penalties, and developing community-driven detection tools. AI

IMPACT Highlights the growing challenge of AI-assisted academic dishonesty and the need for new detection methods in research.

RANK_REASON Paper detailing a novel challenge and proposed solutions for academic integrity in AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AAAI Conference combats surge in AI-assisted dual submissions

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Paper detailing a novel challenge and proposed solutions for academic integrity in AI research. [lever_c_demoted from research: ic=1 ai=1.0]
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policy, other
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High
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49 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kiri L. Wagstaff, Joydeep Biswas, Erich Merrill III, Bo An, Ida Camacho, David J. Crandall, Matthew E. Taylor ·

    AAAI-26 Dual Submissions: Novel Challenges

    arXiv:2607.11918v1 Announce Type: cross Abstract: Dual submissions, in which identical or substantially similar papers are simultaneously submitted to one or more archival venues, without cross-citation or disclosure, are a growing problem for the AAAI Conference and other scient…

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