论文标题
加强子社区：AI研究中的可持续增长
Strengthening Subcommunities: Towards Sustainable Growth in AI Research
论文作者
论文摘要
学术场所敏锐地感受到了AI的快速增长，从而导致同行评审过程中的痛苦不断增长。这些挑战在很大程度上集中在特定亚地区无法根据该亚地区利益相关者确定的每个子社区相关的标准识别和评估工作的工作。我们提出了一项建议，该提案通过对审查和出版过程的权力下放来重新集中在这些子社区中。通过这项重新介绍的努力，我们希望鼓励每个亚地区面对其学术出版和激励过程的特定问题。历史上，该模型在AI中的几个子社区中一直取得成功，我们强调了这些实例，这是尽管规模不断增长，但该实例是如何继续发展的示例。
AI's rapid growth has been felt acutely by scholarly venues, leading to growing pains within the peer review process. These challenges largely center on the inability of specific subareas to identify and evaluate work that is appropriate according to criteria relevant to each subcommunity as determined by stakeholders of that subarea. We set forth a proposal that re-focuses efforts within these subcommunities through a decentralization of the reviewing and publication process. Through this re-centering effort, we hope to encourage each subarea to confront the issues specific to their process of academic publication and incentivization. This model has historically been successful for several subcommunities in AI, and we highlight those instances as examples for how the broader field can continue to evolve despite its continually growing size.
