What do you think about fully open review systems? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
In the age of AI, I believe the era in which individuals can dominate others solely on the basis of background knowledge, theoretical expertise, academic affiliation, or reputation is coming to an end.
If we move from a double-blind review process to a fully open review system, it would become significantly more difficult to present false or misleading claims as established facts.
Moreover, even under the current double-blind system, there is a tendency to favor papers from close-knit academic communities, as authorship can often be inferred by tracking preprints on platforms such as arXiv. I believe that a fully open review system could help mitigate this form of bias as well.
Ultimately, such a system could also help address the overwhelming volume of both AI-generated submissions and AI-generated review comments by increasing transparency and accountability throughout the review process.
[link] [comments]
More from r/MachineLearning
-
How can I turn an industry ML project into a publication? [R]
Sep 28
-
Are there any good research papers around Text clustering using LLMs [R]
Sep 28
-
Free, open-source AI engineering course where you build each algorithm by hand: 523 lessons, now as EPUB/PDF books [P]
Sep 28
-
Two-stage shelf audit: YOLO finds the products, embeddings can't tell sibling SKUS apart. What should Stage 2 be? [P]
Sep 27
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.