Submitted by tempestwing0101 t3_xxp64m in MachineLearning
I'm a Master's student in Computer Science that is working on research papers in Machine Learning. We submitted a paper to a workshop for a CS research conference, and to my surprise I also received an invitation to review other papers in the same workshop.
I guess my main question is, when is someone "qualified" to peer review other people's work? I ask because I haven't reviewed other researcher's papers before, but have submitted a paper and read many research papers to write a couple others. But the AI field is so vast, I feel like I barely scratched the surface with all the concepts and ideas being thrown around. Some of the abstracts I read to bid on reviewing later have familiar terminology/concepts, but others seem entirely alien to me.
Reviewers have to start somewhere, but is there a baseline competence to properly peer review other papers?
neuralbeans t1_irdc8aw wrote
When you review, one of the fields to fill in is how confident you are in your review. If you don't understand your assigned paper then you give yourself a low confidence rating so that the chairperson would give more weighting to other reviews of the same paper. Usually there is a shortage of reviewers so they accept anyone who is willing to do it for free.