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  <title>mykyta_p</title>
  <link>https://mprotsenko.dreamwidth.org/</link>
  <description>mykyta_p - Dreamwidth Studios</description>
  <lastBuildDate>Wed, 26 Jan 2022 00:14:23 GMT</lastBuildDate>
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  <guid isPermaLink='true'>https://mprotsenko.dreamwidth.org/12070.html</guid>
  <pubDate>Wed, 26 Jan 2022 00:14:23 GMT</pubDate>
  <title>A definition of equitable approach to hiring</title>
  <link>https://mprotsenko.dreamwidth.org/12070.html</link>
  <description>Defining equity in hiring (and everywhere else) is not as easy as it may sound - &quot;equity&quot; is not an established term and may be carry different meanings for different people.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;I can see at least three ways to define equitable hiring process:&lt;br /&gt;&lt;br /&gt;1) All groups are proportionally represented.&lt;br /&gt;&lt;br /&gt;2) Candidates from all groups have the same false negative rate (fit candidates are not hired equally across all groups).&lt;br /&gt;&lt;br /&gt;3) Candidates from all groups have the same false positive rate (unfit candidates are hired equally across all groups).&lt;br /&gt;&lt;br /&gt;The funny fact is that implementing #2 and #3 looks suspiciously similar to affirmative action. Why?&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Let say we have an imperfect proxy metric that defines future success and this metric has different distribution for different groups.&lt;br /&gt;&lt;br /&gt;A really simplified example would be standard tests&apos; scores - let&apos;s say we have group A with a limited resources to practice tests, tutors etc. The more talented students will still score higher.&lt;br /&gt;&lt;br /&gt;On the other hand, in group B, where students have access to everything they can dream of, even dumb students can score higher than the best students from the group A.&lt;br /&gt;&lt;br /&gt;However, in each respective group the score can still be a predictor of a long-term success - the best students from each group will achieve similar results in their careers. (Yes, yes, I am going on a limb here, but this is a simplified example - so please bear with me.)&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;If we define equity as #2 and #3 - then we would need to define different thresholds for different groups. It may sound counterituitive - but different thresholds can lead to equalizing opportunities for equally talented people with different access to resources, &lt;b&gt;when we use an imperfect proxy metric to measure a probability of a future performance&lt;/b&gt;.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Any flaws in this logic? Comments/feedback are welcome.&lt;br /&gt;&lt;br /&gt;&lt;img src=&quot;https://www.dreamwidth.org/tools/commentcount?user=mprotsenko&amp;ditemid=12070&quot; width=&quot;30&quot; height=&quot;12&quot; alt=&quot;comment count unavailable&quot; style=&quot;vertical-align: middle;&quot;/&gt; comments</description>
  <comments>https://mprotsenko.dreamwidth.org/12070.html</comments>
  <category>equity</category>
  <lj:security>public</lj:security>
  <lj:reply-count>14</lj:reply-count>
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