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diff --git a/site/public/about/index.html b/site/public/about/index.html index ce2b6228..427a97a2 100644 --- a/site/public/about/index.html +++ b/site/public/about/index.html @@ -63,22 +63,9 @@ <li><a href="/about/attribution/">Attribution</a></li> <li><a href="/about/legal/">Legal / Privacy</a></li> </ul> -</section><p>MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies.</p> +</section><p>MegaPixels is an independent art and research project by <a href="https://ahprojects.com">Adam Harvey</a> and <a href="https://asdf.us">Jules LaPlace</a> that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies.</p> <p>MegaPixels is made possible with support from <a href="http://mozilla.org">Mozilla</a></p> -<div class="flex-container team-photos-container"> - <div class="team-member"> - <h3>Adam Harvey</h3> - <p>is Berlin-based American artist and researcher. His previous projects (<a href="https://cvdazzle.com">CV Dazzle</a>, <a href="https://ahprojects.com/stealth-wear">Stealth Wear</a>, and <a href="https://github.com/adamhrv/skylift">SkyLift</a>) explore the potential for counter-surveillance as artwork. He is the founder of <a href="https://vframe.io">VFRAME</a> (visual forensics software for human rights groups) and is a currently researcher in residence at Karlsruhe HfG.</p> - <p><a href="https://ahprojects.com">ahprojects.com</a></p> - </p> - </div> - <div class="team-member"> - <h3>Jules LaPlace</h3> - <p>is an American technologist and artist also based in Berlin. He was previously the CTO of a digital agency in NYC and now also works at VFRAME, developing computer vision and data analysis software for human rights groups. Jules also builds experimental software for artists and musicians. - </p> - <p><a href="https://asdf.us/">asdf.us</a></p> - </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 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 same technology companies who created many of the 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 citations. MegaPixels is a website-first research project, with an academic publication to follow in fall 2019.</p> <p>A dataset of verified geocoded citations and dataset statistics will be published in Fall 2019 along with a research paper as part of a research fellowship for <a href="http://kim.hfg-karlsruhe.de/">KIM (Critical Artificial Intelligence) Karlsruhe HfG</a>.</p> @@ -90,18 +77,18 @@ <li>June 26, 2019: The Atlantic writes about image training datasets "in the wild" and research ethics: <a href="https://www.theatlantic.com/technology/archive/2019/06/universities-record-students-campuses-research/592537/">Universities Record Students on Campuses for Research</a> by Sidney Fussell</li> </ul> <p>Read more <a href="/about/news">news</a></p> -</section><section><div class='columns columns-3'><div class='column'><h5>Team</h5> +<h5>Team</h5> <ul> <li>Adam Harvey: Concept, research and analysis, design, computer vision</li> <li>Jules LaPlace: Information and systems architecture, data management, web applications</li> </ul> -</div><div class='column'><h5>Contributing Researchers</h5> +<h5>Contributing Researchers</h5> <ul> <li>Beth (aka Ms. Celeb)</li> <li>Berit Gilma</li> <li>Mathana Stender</li> </ul> -</div><div class='column'><h5>Code and Libraries</h5> +<h5>Code and Libraries</h5> <ul> <li><a href="https://semanticscholar.org">Semantic Scholar</a> for citation aggregation</li> <li>Leaflet.js for maps</li> @@ -109,7 +96,7 @@ <li>ThreeJS for 3D visualizations</li> <li>PDFMiner.Six and Pandas for research paper analysis</li> </ul> -</div></div></section><section><h5>Attribution</h5> +<h5>Attribution</h5> <p>If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:</p> <pre> @online{megapixels, @@ -119,9 +106,7 @@ url = {https://megapixels.cc/}, urldate = {2019-04-18} } -</pre><h5>Contact</h5> -<p>Please direct questions, comments, or feedback to <a href="https://mastodon.social/@adamhrv">mastodon.social/@adamhrv</a> or contact via <a href="https://ahprojects.com/about">https://ahprojects.com/about</a></p> -</section> +</pre></section> </div> <footer> diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html index 8beafeea..0beebd43 100644 --- a/site/public/about/legal/index.html +++ b/site/public/about/legal/index.html @@ -65,9 +65,9 @@ </ul> </section><p>MegaPixels.cc Terms and Privacy</p> <p>MegaPixels is an independent and academic art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the <em>Service</em> or <em>Services</em>) you agree to the terms and conditions set forth below.</p> -<h2>Privacy</h2> +<h3>Privacy</h3> <p>The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer. This site does not use any local or external analytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs used only for preventing misuse, which are deleted at short-term intervals.</p> -<h2>3rd Party Services</h2> +<h3>3rd Party Services</h3> <p>In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2) Digital Ocean Spaces as a content delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, tracking, or any similar purpose.</p> <h3>Links To Other Web Sites</h3> <p>The MegaPixels.cc contains many links to 3rd party websites, especially in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for the content, privacy policies, or practices of any third party web sites or services. You acknowledge and agree that megapixels.cc (and its creators) shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.</p> |
