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authoradamhrv <adam@ahprojects.com>2019-04-24 10:10:06 +0200
committeradamhrv <adam@ahprojects.com>2019-04-24 10:10:06 +0200
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<section class="about-menu">
<ul>
<li><a href="/about/">About</a></li>
+<li><a href="/press/">Press</a></li>
<li><a class="current" href="/about/attribution/">Attribution</a></li>
<li><a href="/about/legal/">Legal / Privacy</a></li>
</ul>
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<section class="about-menu">
<ul>
<li><a class="current" href="/about/">About</a></li>
+<li><a href="/press/">Press</a></li>
<li><a href="/about/attribution/">Attribution</a></li>
<li><a href="/about/legal/">Legal / Privacy</a></li>
</ul>
@@ -58,7 +59,7 @@
</div>
</div><p>MegaPixels is an art and research project first launched in 2017 for an <a href="https://ahprojects.com/megapixels-glassroom/">installation</a> at Tactical Technology Collective's <a href="https://tacticaltech.org/pages/glass-room-london-press/">GlassRoom</a> about face recognition datasets. In 2018 MegaPixels was extended to cover pedestrian analysis datasets for a <a href="https://esc.mur.at/de/node/2370">commission by Elevate Arts festival</a> in Austria. Since then MegaPixels has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets, the first of which launched on this site in April 2019.</p>
<p>MegaPixels aims to provide a critical perspective on machine learning image datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the several of the same technology companies who have created datasets presented on this site.</p>
-<p>MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Though the goals are similar to publishing an academic paper, MegaPixels is a website-first research project, with a academic publications to follow.</p>
+<p>MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Though the goals are similar to publishing an academic paper, MegaPixels is a website-first research project, with an academic publication to follow.</p>
<p>One of the main focuses of the dataset investigations presented on this site is to uncover where funding originated. Because of our emphasis on other researcher's funding sources, it is important that we are transparent about our own. This site and the past year of research have been primarily funded by a privacy art grant from Mozilla in 2018. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The research into pedestrian analysis datasets was funded by a commission from Elevate Arts, and continued development in 2019 is supported in part by a 1-year Researcher-in-Residence grant from Karlsruhe HfG, as well as lecture and workshop fees.</p>
</section><section><div class='columns columns-3'><div class='column'><h5>Team</h5>
<ul>
diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html
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+++ b/site/public/about/legal/index.html
@@ -38,6 +38,7 @@
<section class="about-menu">
<ul>
<li><a href="/about/">About</a></li>
+<li><a href="/press/">Press</a></li>
<li><a href="/about/attribution/">Attribution</a></li>
<li><a class="current" href="/about/legal/">Legal / Privacy</a></li>
</ul>
diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html
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--- a/site/public/about/press/index.html
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@@ -38,12 +38,22 @@
<section class="about-menu">
<ul>
<li><a href="/about/">About</a></li>
+<li><a class="current" href="/press/">Press</a></li>
<li><a href="/about/attribution/">Attribution</a></li>
<li><a href="/about/legal/">Legal / Privacy</a></li>
</ul>
-</section><p><a href="https://megapixels.cc">https://megapixels.cc</a></p>
+</section><h5>Features</h5>
<ul>
<li>April 19, 2019: <a href="https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e">Who's Using Your Face</a> by Madhumita Murgia for FT.com</li>
+</ul>
+<h5>Cited by</h5>
+<ul>
+<li>April 19, 2019: <a href="https://www.ft.com/content/41be9878-61d9-11e9-b285-3acd5d43599e">Western AI researchers partnered with Chinese surveillance firm</a> by Madhumita Murgia for FT.com</li>
+</ul>
+<h5>Related</h5>
+<ul>
+<li>April 20: Washington Post Editorial Board <a href="https://www.washingtonpost.com/opinions/microsoft-worked-with-a-chinese-military-university-on-ai-does-that-make-sense/2019/04/21/a0fb82c6-5d59-11e9-842d-7d3ed7eb3957_story.html">Opinion | Microsoft worked with a Chinese military university on AI. Does that make sense?</a></li>
+<li>April 10, 2019: <a href="https://www.ft.com/content/9378e7ee-5ae6-11e9-9dde-7aedca0a081a">Microsoft worked with Chinese military university on artificial intelligence</a> see also <a href="/datasets/msceleb">MS Celeb</a></li>
<li>Aug 22, 2018: <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">Transgender YouTubers had their videos grabbed to train facial recognition software</a> by James Vincent</li>
</ul>
</section>