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        <div dir="ltr" data-setdir="false">Jerry -- </div><div dir="ltr" data-setdir="false"><br></div><div dir="ltr" data-setdir="false">From your mouth (or keyboard) to God's ears! Absolutely this could be done. But do we have a prayer of a chance in real life? Maybe, and there is always hope.</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 Sunday, April 10, 2022, 12:53:44 PM EDT, Jerome Slate <slatemd@comcast.net> wrote:
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    There is the remote possibility that the same AI values about crime
    might be used for benevolent purposes. It could be used to signal
    areas to develop afternoon programs for at risk children, places to
    open job training schools and subsidized centers for parent training
    and child care. Unlikely, but possible. <br clear="none">
    Jerry Slate<br clear="none">
    <br clear="none">
    <div class="yiv2981003904moz-cite-prefix">On 4/9/2022 2:29 PM, Jerry Harris
      wrote:<br clear="none">
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        <div>> wouldn't surprise me if zip codes correlate with a
          crime. (Probably not with the amount stolen per capita!) It
          wouldn't surprise me at all if criminal records of relatives
          correlate more strongly with crime</div>
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        <div>The bias comes into play by using this data to give people
          from certain zip codes or certain families longer sentences.
          Or to assign more police officers to certain regions, where in
          turn they make more arrests for minor crimes they observe (eg,
          broken tail light, etc), and thus feedback misleading data
          into the models. </div>
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        <div>Cathy imagines these algorithms to be used to make
          different decisions: </div>
        <blockquote style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex;" class="yiv2981003904gmail_quote">Imagine
          if you used recidivist models to provide the at-risk inmates
          with counseling and job training while in prison. Or if police
          doubled down on foot patrols in high crime zip codes --
          working to build relationships with the community instead of
          arresting people for minor offenses. </blockquote>
        <blockquote style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex;" class="yiv2981003904gmail_quote">You
          might notice there's a human element to these solutions.
          Because really that's the key. Algorithms can inform and
          illuminate and supplement our decisions and policies. But to
          get not-evil results, humans and data really have to work
          together.</blockquote>
        <blockquote style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex;" class="yiv2981003904gmail_quote">"Big
          Data processes codify the past," O'Neil writes. "They do not
          invent the future. Doing that requires moral imagination, and
          that's something only humans can provide."  </blockquote>
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        <div><a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="https://money.cnn.com/2016/09/06/technology/weapons-of-math-destruction/index.html" class="yiv2981003904moz-txt-link-freetext">https://money.cnn.com/2016/09/06/technology/weapons-of-math-destruction/index.html</a><br clear="none">
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          <div>Jerry</div>
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        <div dir="ltr" class="yiv2981003904gmail_attr">On Sat, Apr 9, 2022 at 12:47
          PM Jon Dreyer <<a rel="nofollow noopener noreferrer" shape="rect" ymailto="mailto:jon@jondreyer.org" target="_blank" href="mailto:jon@jondreyer.org" class="yiv2981003904moz-txt-link-freetext">jon@jondreyer.org</a>>
          wrote:<br clear="none">
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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 Science tutor</a><br clear="none">
              <a rel="nofollow noopener noreferrer" shape="rect" target="_blank" href="http://music.jondreyer.com">Jon Dreyer Music</a></p>
            <div>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="yiv2981003904moz-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="yiv2981003904gmail_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="yiv2981003904moz-txt-link-freetext">jjrudy1@comcast.net</a>>
                  wrote:<br clear="none">
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                      <p class="yiv2981003904MsoNormal"><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="yiv2981003904MsoNormal"><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="yiv2981003904moz-txt-link-freetext">https://www.wired.com/story/excerpt-from-automating-inequality/</a></span></p>
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