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diff --git a/site/public/about/index.html b/site/public/about/index.html index e2ce409d..ed80691a 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -28,22 +28,7 @@ <div class="content content-about"> <section><h1>About This Project</h1> -<ul> -<li><a href="/about/">About</a></li> -<li><a href="/about/press/">Press</a></li> -<li><a href="/about/research/">Research Methodology</a></li> -<li><a href="/about/disclaimer/">Disclaimer</a></li> -<li><a href="/about/terms/">Terms and Conditions</a></li> -<li><a href="/about/privacy/">Privacy Policy</a></li> -</ul> -</section><section><div class='right-sidebar'><h3>Recent Press</h3> -<ul> -<li><a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">TheVerge: Transgender YouTubers had their videos grabbed to train facial recognition software</a> by James Vincent </li> -<li><a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">TheVerge: Transgender YouTubers had their videos grabbed to train facial recognition software</a> by James Vincent </li> -<li>[change to small button]Read more <a href="/about/press">press</a></li> -</ul> -</div><p>MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets. Where do they come from? Who's included? Who created it and for what reason?</p> -<p>MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.</p> +</section><section class="about-menu"><ul><li><a href="/about/">About</a></li><li><a href="/about/press/">Press</a></li><li><a href="/about/research/">Research Methodology</a></li><li><a href="/about/disclaimer/">Disclaimer</a></li><li><a href="/about/terms/">Terms and Conditions</a></li><li><a href="/about/privacy/">Privacy Policy</a></li></ul></section><section><p>MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets. Where do they come from? Who's included? Who created it and for what reason?</p> <p>MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.</p> <p>MegaPixels sets out to answer to these questions and reveal the stories behind the millions of images used to train, evaluate, and power the facial recognition surveillance algorithms used today. MegaPixels is authored by Adam Harvey, developed in collaboration with Jules LaPlace, and produced in partnership with Mozilla.</p> </section><section class='images'><div class='sideimage'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/about/assets/adam-harvey.jpg' alt='Adam Harvey'><div><p><strong>Adam Harvey</strong> is an American artist and researcher based in Berlin. His previous projects (CV Dazzle, Stealth Wear, and SkyLift) explore the potential for countersurveillance as artwork. He is the founder of VFRAME (visual forensics software for human rights groups), the recipient of 2 PrototypeFund awards, and is currently a researcher in residence at Karlsruhe HfG studying artifical intelligence and datasets.</p> diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html index c90f1c9d..650366e0 100644 --- a/site/public/about/terms/index.html +++ b/site/public/about/terms/index.html @@ -28,7 +28,7 @@ <div class="content content-about"> <section><h1>Terms and Conditions ("Terms")</h1> -</section><section><div class='right-sidebar'><ul> +</section><section><div class='left-sidebar'><ul> <li><a href="/about/">About</a></li> <li><a href="/about/press/">Press</a></li> <li><a href="/about/credits/">Credits</a></li> |