论文标题
预防：捍卫服务不足的AI学生和研究人员免于掠夺性会议
PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences
论文作者
论文摘要
在AI社区中的指导对于维持和增加多样性至关重要，尤其是在促进服务不足的学生的学术成长方面。虽然研究过程本身很重要，但没有足够的重点对提交，演示和出版过程，这是引起关注的原因，因为掠夺性科学会议的迅速崛起，这些会议仅基于利润，几乎没有同行审查。这些会议是对科学诚信的直接威胁，它几乎没有科学优点。但是，由于便利性和针对电子邮件邀请（电子邮件邀请）的定位机制，他们还通过将代表性不足的群体边缘化而远离合法会议的人士社区中的多样性。由于AI研究中会议演讲的重要性，因此必须通过直接指导解决这个非常具体的问题。在这项工作中，我们提出了一项指导计划PredeFense，旨在通过科学会议和讲习班过程来指导代表性不足的学生，重点是选择与学生专注于专注的特定工作并为所有背景的学生准备的合法场所，并为所有背景的学生做好了准备，以实现未来成功的，以未来成功的综合研究职业。
Mentorship in the AI community is crucial to maintaining and increasing diversity, especially with respect to fostering the academic growth of underserved students. While the research process itself is important, there is not sufficient emphasis on the submission, presentation, and publication process, which is a cause for concern given the meteoric rise of predatory scientific conferences, which are based on profit only and have little to no peer review. These conferences are a direct threat to integrity in science by promoting work with little to no scientific merit. However, they also threaten diversity in the AI community by marginalizing underrepresented groups away from legitimate conferences due to convenience and targeting mechanisms like e-mail invitations. Due to the importance of conference presentation in AI research, this very specific problem must be addressed through direct mentorship. In this work, we propose PreDefense, a mentorship program that seeks to guide underrepresented students through the scientific conference and workshop process, with an emphasis on choosing legitimate venues that align with the specific work that the students are focused in and preparing students of all backgrounds for future successful, integrous AI research careers.
