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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D">Congrats, Maria!<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span style="font-size:11.0pt;font-family:"Calibri",sans-serif"> Artur Dubrawski <awd@cs.cmu.edu>
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<b>Sent:</b> Thursday, September 19, 2019 2:57 PM<br>
<b>To:</b> users@autonlab.org<br>
<b>Cc:</b> Martial Hebert <hebert+@cs.cmu.edu>; Srinivasa G Narasimhan <srinivas@andrew.cmu.edu>; Ramayya Krishnan <rk2x@cmu.edu>; Byron G Spice <bspice@cs.cmu.edu><br>
<b>Subject:</b> Maria De-Arteaga in Motherboard article<o:p></o:p></span></p>
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<p class="MsoNormal">Dear Autonians,<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Maria has been portrayed as one of the thought leaders of the fairness frontier of applied machine learning in <a href="https://www.vice.com/en_us/article/vb53gb/algorithms-have-nearly-mastered-human-language-why-cant-they-stop-being-sexist?utm_source=mbtwitterus" target="_blank">this
article</a> in Motherboard (a tech vertical of Vice). She talks about biases in word embeddings and their impact on e.g. automated recruiting. <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">If you are curious to learn more about Maria's exciting work in this area, try this:<o:p></o:p></p>
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<p class="MsoNormal"><a href="https://www.researchgate.net/publication/330264859_Bias_in_Bios_A_Case_Study_of_Semantic_Representation_Bias_in_a_High-Stakes_Setting">https://www.researchgate.net/publication/330264859_Bias_in_Bios_A_Case_Study_of_Semantic_Representation_Bias_in_a_High-Stakes_Setting</a> <o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Congrats Maria!<o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal">Artur <o:p></o:p></p>
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