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<oembed><version>1.0</version><provider_name>The Persona Blog</provider_name><provider_url>https://persona.qcri.org/blog</provider_url><author_name>Jim Jansen</author_name><author_url>https://persona.qcri.org/blog/author/jim-jansen/</author_url><title>The Ethics of Data-Driven Personas &#x2013; The Persona Blog</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="yNdwUp9q2k"&gt;&lt;a href="https://persona.qcri.org/blog/the-ethics-of-data-driven-personas/"&gt;The Ethics of Data-Driven Personas&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://persona.qcri.org/blog/the-ethics-of-data-driven-personas/embed/#?secret=yNdwUp9q2k" width="600" height="338" title="&#x201C;The Ethics of Data-Driven Personas&#x201D; &#x2014; The Persona Blog" data-secret="yNdwUp9q2k" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Quantitative data and algorithms are becoming more common for persona creation, but it is not clear to which extent this data and opaque machine learning algorithms introduce bias at various steps of data-driven persona creation (DDPC) and/or violate user rights. In this conceptual work, led by Joni Salminen, we use Gillespie&#x2019;s framework of algorithmic ethics [&hellip;]</description><thumbnail_url>https://persona.qcri.org/blog/wp-content/uploads/2020/04/digital_ethics.jpg</thumbnail_url></oembed>
