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      <title>Digital Technology by </title>
      <link>https://padlet.com/crawford11/ze64230dbru8el5w</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2020-09-07 23:12:24 UTC</pubDate>
      <lastBuildDate>2020-11-05 00:44:09 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>Part 2)</title>
         <author>crawford11</author>
         <link>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887219358</link>
         <description><![CDATA[<div>This argument relates to my daily life and habits because I constantly check my phone. I am, like others, seem to be trapped in this continuous loop where we constantly check statuses and are addicted to social media.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-11-03 18:03:36 UTC</pubDate>
         <guid>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887219358</guid>
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      <item>
         <title>Part 3)</title>
         <author>crawford11</author>
         <link>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887221519</link>
         <description><![CDATA[<div>The benefits of classifying faces is that it will help create more precise data. The drawbacks are possibly reduced privacy and misclassifying people. The failure to identify certain faces raises the problem of people feeling uncomfortable with themselves, an algorithm is saying that they are different than what they know they are. The cost of giving up your image or data is privacy. Buolamwini's research allows the opportunity to either improve these systems so they are accurate for all people or to not use these systems at all.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-11-03 18:04:09 UTC</pubDate>
         <guid>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887221519</guid>
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      <item>
         <title>Part 4)</title>
         <author>crawford11</author>
         <link>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887223536</link>
         <description><![CDATA[<div>I can't think of anything missing from the list. I also think that everything on the list belongs to be on it. I strongly agree with that most tech education doesn't include ethical training and that most people in tech sincerely want to do good.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-11-03 18:04:41 UTC</pubDate>
         <guid>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887223536</guid>
      </item>
      <item>
         <title>Part 5)</title>
         <author>crawford11</author>
         <link>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887224044</link>
         <description><![CDATA[<div>The examples are not morally right. I understand that these mistakes were not intentional but more focus needs to be directed to make sure recognition technology works for all people. Tech/science can play a role in creating injustice by having faulty recognition systems for certain types of people. To enable a more just society tech needs to make sure not only recognition, but all technology works for all people.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-11-03 18:04:49 UTC</pubDate>
         <guid>https://padlet.com/crawford11/ze64230dbru8el5w/wish/887224044</guid>
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