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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>
Jerry Slate<br>
<br>
<div class="moz-cite-prefix">On 4/9/2022 2:29 PM, Jerry Harris
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CAGanSPyWXR1MWNWwkX6jE+zWfUEGN6KWpGg2z90-Ji3-DjMNFQ@mail.gmail.com">
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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>
<div><br>
</div>
<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>
<div><br>
</div>
<div>Cathy imagines these algorithms to be used to make
different decisions: </div>
<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">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 class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">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 class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">"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>
<div><br>
</div>
<div><a
href="https://money.cnn.com/2016/09/06/technology/weapons-of-math-destruction/index.html"
moz-do-not-send="true" class="moz-txt-link-freetext">https://money.cnn.com/2016/09/06/technology/weapons-of-math-destruction/index.html</a><br>
<div><br>
</div>
<div>Jerry</div>
</div>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">On Sat, Apr 9, 2022 at 12:47
PM Jon Dreyer <<a href="mailto:jon@jondreyer.org"
moz-do-not-send="true" class="moz-txt-link-freetext">jon@jondreyer.org</a>>
wrote:<br>
</div>
<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div>
<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>
Jon "Bias Sometime" Dreyer<br>
<a href="http://www.passionatelycurious.com"
target="_blank" moz-do-not-send="true">Math
tutor/Computer Science tutor</a><br>
<a href="http://music.jondreyer.com" target="_blank"
moz-do-not-send="true">Jon Dreyer Music</a></p>
<div>On 4/9/22 11:22, Jerry Harris wrote:<br>
</div>
<blockquote type="cite">
<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
href="https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">https://www.amazon.com/Weapons-Math-Destruction-Increases-Inequality/dp/0553418815</a></div>
<div><br>
</div>
<div>Jerry</div>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">On Sat, Apr 9, 2022 at
10:47 AM john rudy <<a
href="mailto:jjrudy1@comcast.net" target="_blank"
moz-do-not-send="true" class="moz-txt-link-freetext">jjrudy1@comcast.net</a>>
wrote:<br>
</div>
<blockquote class="gmail_quote" style="margin:0px 0px
0px 0.8ex;border-left:1px solid
rgb(204,204,204);padding-left:1ex">
<div lang="EN-US">
<div>
<p class="MsoNormal"><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="MsoNormal"><span
style="font-size:12pt;font-family:Arial,sans-serif"><a
href="https://www.wired.com/story/excerpt-from-automating-inequality/"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">https://www.wired.com/story/excerpt-from-automating-inequality/</a></span></p>
</div>
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</blockquote>
</div>
</blockquote>
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