Merge pull request #7 from aistats/add-llm-policy

added LLM policy to Reviewer/AC guidelines

ac_guidelines.md

@@ -104,6 +104,10 @@ _Adapted from NeurIPS 2025 AC guidelines. Original source: Chris Williams and Jo
 
 For more tips for area chairs of ML conferences, have a look at [this blog post](https://team-approx-bayes.github.io/blog/ACtips/).
 
+## LLM Policy
+
+The use of LLMs is not allowed to write papers, reviews, and meta-reviews. They can be used as an assist tool, for example, to check grammatical issues. Ultimately, you are responsible for the text you write, including content generated by LLMs that could be construed as plagiarism or scientific misconduct (e.g., fabrication of facts). Similar to other ML venues, at AISTATS too, LLMs are not eligible for authorship.
+
 ## Confidentiality
 
 You must keep everything relating to the review process confidential. Do not use ideas, code and results from submissions in your own work until they become publicly available (e.g., via a technical report or a published paper for ideas/results, via open source for code, etc.). Do not talk about or distribute submissions (whether it is the code, or the ideas and results described in them) to anyone without prior approval from the program chairs. Code submitted for reviewing cannot be distributed. DO NOT talk to other ACs and/or SACs about submissions that are assigned to you unless you have a justified reason to do so, in such case before contacting other ACs/SACs, consult with your SAC and/or the Program Chairs.

reviewer_guidelines.md

@@ -205,6 +205,10 @@ submission, please notify the Program Chairs right away at
 If you notice unethical or suspect behavior, please notify your Area Chair right
 away.
 
+## LLM Policy
+
+The use of LLMs is not allowed to write papers, reviews, and meta-reviews. They can be used as an assist tool, for example, to check grammatical issues. Ultimately, you are responsible for the text you write, including content generated by LLMs that could be construed as plagiarism or scientific misconduct (e.g., fabrication of facts). Similar to other ML venues, at AISTATS too, LLMs are not eligible for authorship.
+
 
 ## Other Remarks