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<div dir="ltr" data-setdir="false">The question in that case is whether the statistics actually have predictive validity. Assuming that the past predicts the future is called a self-fulfilling prophecy. I don't want this logical fallacy to become part of AI algorithms.</div><div dir="ltr" data-setdir="false"><br></div><div dir="ltr" data-setdir="false">-- Bob Primak</div><div dir="ltr" data-setdir="false"><br></div><div><br></div>
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On Saturday, April 9, 2022, 12:47:58 PM EDT, Jon Dreyer <jon@jondreyer.org> wrote:
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<p>Not every instance of apparent bias represents bias. John's
example seems like an open-and-shut case of bias, but Jerry's may
not be. Since zip codes correlate with poverty and poverty
correlates with crime, it wouldn't surprise me if zip codes
correlate with crime. (Probably not with amount stolen per
capita!) It wouldn't surprise me at all if criminal records of
relatives correlate more strongly with crime.</p>
<p>Whether it's ethical to use that data for a given purpose is a
separate question.</p>
<p>-- <br clear="none">
Jon "Bias Sometime" Dreyer<br clear="none">
<a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="http://www.passionatelycurious.com">Math tutor/Computer
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<a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="http://music.jondreyer.com">Jon Dreyer Music</a></p>
<div id="yiv7733387639yqtfd79989" class="yiv7733387639yqt8514898210"><div class="yiv7733387639moz-cite-prefix">On 4/9/22 11:22, Jerry Harris wrote:<br clear="none">
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<div dir="ltr">John,
<div>You might find the book by Cathy O'Neil, "Weapons of Math
Destruction," interesting since it contains more examples in
the same vein as the article. The author attended Lexington
High School and gave a talk about her book at Follen Church
several years ago. Stories such as an algorithm that uses data
like zip code and criminal records of relatives to calculate a
prisoner's likelihood to commit another crime if released on
parole, etc. </div>
<div> <a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815" class="yiv7733387639moz-txt-link-freetext">https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815</a></div>
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<div>Jerry</div>
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<div dir="ltr" class="yiv7733387639gmail_attr">On Sat, Apr 9, 2022 at 10:47
AM john rudy <<a rel="nofollow noopener noreferrer" shape="rect" ymailto="mailto:jjrudy1@comcast.net" target="_blank" href="mailto:jjrudy1@comcast.net" class="yiv7733387639moz-txt-link-freetext">jjrudy1@comcast.net</a>>
wrote:<br clear="none">
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<p class="yiv7733387639MsoNormal"><span style="font-size:12pt;font-family:Arial, sans-serif;">I
am taking an AI course and a major issue is the bias
build into some AI systems. If, for example, you pick
new hires from those who were successful in the past
you’ll mostly hire white males because those were who
you mostly had in the past. Here is a fascinating
article from the course</span></p>
<p class="yiv7733387639MsoNormal"><span style="font-size:12pt;font-family:Arial, sans-serif;"><a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="https://www.wired.com/story/excerpt-from-automating-inequality/" class="yiv7733387639moz-txt-link-freetext">https://www.wired.com/story/excerpt-from-automating-inequality/</a></span></p>
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