thisisnic commented on code in PR #55260:
URL: https://github.com/apache/arrow/pull/55260#discussion_r4380176428


##########
docs/source/developers/overview.rst:
##########
@@ -191,6 +191,22 @@ submitted contributions. See the `ASF's guidance on 
AI-generated code
 <https://www.apache.org/legal/generative-tooling.html>`_ for further
 information on licensing considerations.
 
+We expect human contributors to actively engage on the review process. We
+recognise the value of using AI tools to understand the changes being requested
+but we expect a human-in-the-loop for all engagements. Reviewer time is limited
+and reviewers are not expected to be talking to contributors' agents but to
+contributors themselves. If a reviewer finds that a contributor seems to rely
+excessively on AI tools instead of engaging with the review, the PR might be
+closed and/or tagged with a label indicating excessive AI usage.

Review Comment:
   I appreciate we have a need for filtering out low-effort PRs, but I worry 
such a tag would create unnecessary drama, and think we might have an easier 
life by creating a positive tag and recommending reviewers filter on that if 
they want a low chance of AI PRs
   
   For what could qualify someone for a positive tag, I quite like the 
prioritisation order listed at the bottom of this blog post by Andrew Lamb: 
https://andrew.nerdnetworks.org/blog/2026/10/19/my-plan-for-reviewing-prs-in-open-source-projects-in-the-age-of-ai/



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