AI顶会模式出了问题？ 「不发表，就出局」的恶性循环，正在压垮整个AI学界

Core Viewpoint - The current model of AI academic conferences is deemed unsustainable due to overwhelming submission rates, environmental impacts, and mental health concerns among researchers [5][11][15]. Group 1: Challenges Facing AI Conferences - The average annual publication rate in the AI field has exceeded 4.5 papers per author, doubling in the past decade, leading to a focus on quantity over quality [7][22]. - The travel emissions from NeurIPS 2024 alone exceeded 8,254 tons of CO2 equivalent, surpassing the daily emissions of Vancouver, highlighting the environmental cost of these conferences [23][25]. - Over 71% of discussions on Reddit regarding AI conferences expressed negative sentiments, with 35% mentioning mental health issues such as anxiety and burnout [28][29]. Group 2: Proposed Solutions - The Community-Federated Conference (CFC) model is proposed as a sustainable and equitable alternative, separating traditional conference functions into three interconnected layers: global peer review, regional centers for knowledge dissemination, and a unified digital platform for collaboration [38][40][41]. - The first layer involves a centralized digital platform for peer review and publication, allowing for rolling submissions independent of physical conferences [39]. - The second layer consists of regional centers that facilitate local presentations, reducing the need for large venues and minimizing carbon footprints [40]. Group 3: Future Directions - The CFC model aims to address the structural issues of traditional conferences by promoting local engagement and reducing the pressure on authors while maintaining academic rigor [38][41]. - The shift towards a decentralized approach is seen as essential to foster collaboration and inclusivity within the AI research community [39][40].