<p>I would suggest to formulate the tag information and the tag wiki in a similar way as we use tags for software. E.g. the R-tag:</p>
<p><a href="https://stats.stackexchange.com/questions/tagged/r">https://stats.stackexchange.com/questions/tagged/r</a></p>
<blockquote>
<p>Use this tag for any <em>on-topic</em> question that (a) involves <code>R</code> either as a critical part of the question or expected answer, &amp; (b) is not <em>just</em> about how to use <code>R</code>.</p>
</blockquote>
<p>And in the help section</p>
<blockquote>
<ul>
<li><strong>Programming</strong>, ask on Stack Overflow. If the language is statistically oriented (such as <strong>R, SAS, Stata, SPSS</strong>, etc.), then decide based on the nature of your question: if it needs <em>statistical expertise</em> to understand or answer, ask it here; if it's about the <em>implementation</em> of an algorithm, routine <em>data processing</em>, or details of the <em>language</em>, then please refer to the collection of links to resources we maintain.</li>
</ul>
</blockquote>
<p>For ethics we could have an analogues approach. The questions should require statistical expertise and require statistics to answer, rather than being just about a more general ethical question that is related to statistics but not neccesarily about statistics.</p>
<p>An example question of such category could be:</p>
<p><a href="https://stats.stackexchange.com/questions/449322/was-amazons-ai-tool-more-than-human-recruiters-biased-against-women">Was Amazon's AI tool, more than human recruiters, biased against women?</a> which is not a question purely about the ethics (e.g. whether or not bias is good) but about <em>how</em> statistics can lead to the ethical problem.</p>
