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diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md index a6ce3d3d..5658bcf1 100644 --- a/site/content/pages/about/index.md +++ b/site/content/pages/about/index.md @@ -24,9 +24,7 @@ authors: Adam Harvey 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. -MegaPixels is made possible with support from <a href="http://mozilla.org">Mozilla</a>, our primary funding partner. - -Additional support for MegaPixels is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center, 1-year research-in-residence grant from Karlsruhe HfG, and sales from the Privacy Gift Shop. +This project is made possible with support from <a href="http://mozilla.org">Mozilla</a>. <div class="flex-container team-photos-container"> @@ -45,16 +43,13 @@ Additional support for MegaPixels is provided by the European ARTificial Intelli </div> -The MegaPixels website is based on an [earlier installation from 2017](https://ahprojects.com/megapixels-glassroom/) and ongoing research and lectures ([TedX](https://www.youtube.com/watch?v=bfhcco9gS30), [CPDP](https://www.cpdpconferences.org/events/megapixels-is-in-publicly-available-facial-recognition-datasets)) about facial recognition datasets. Over the last several years this project has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets. - -MegaPixels aims to provide a critical perspective on machine learning image datsets, one that might otherwise escape academia and the industry funded artificial intelligence think tanks that are often supported by the same technology companies who have created many of the datasets presented on this site. - -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 a public academic paper, MegaPixels is a website-first reserch project aligns closley with the goals of pre-print academic publications. As such we welcome feedback and ways to improve this site and the clarity of the research. +MegaPixels is an art and research project first launched in 2017 for an [installation](https://ahprojects.com/megapixels-glassroom/) at Tactical Technology Collective's GlassRoom about facial recognition datasets. In 2018 it was extended to cover pedestrian analysis datasets for a [commission by Elevate Arts festival](https://esc.mur.at/de/node/2370) in Austria. Since then MegaPixels has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets. -Because this project surfaces many funding issues with datasets (from datasets funded by the C.I.A. to the National Unviversity of Defense and Technology in China), it is important that we are transparent about own funding. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The bulk of the research and web-development during 2018 - 2018 was supported by a grant from Mozilla. Continued development in 2019 is partially supported by a 1-year Reseacher-in-Residence grant from Karlsruhe HfG, lecture and workshop fees, and from commissions and sales from the Privacy Gift Shop. +MegaPixels aims to provide a critical perspective on machine learning image datsets, 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. -Please get in touch if you are interested in supporting this project. +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 paper to follow. +One of the main focuses of the dataset investigations presented on this site is to uncover where funding originated. Because of our empahasis on other researchers' funding sources, it is important that we are transparent about our own. This site and the past year of reserach 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 Reseacher-in-Residence grant from Karlsruhe HfG and lecture and workshop fees. === columns 3 @@ -84,18 +79,6 @@ You are free: === end columns -Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv) - -#### Funding Partners - -The MegaPixels website, research, and development is made possible with support form Mozilla, our primary funding partner. - -[ add logos ] - -Additional support is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center and a 1-year research-in-residence grant from Karlsruhe HfG. - -[ add logos ] - ##### Attribution If you use MegaPixels or any data derived from it for your work, please cite our original work as follows: @@ -106,6 +89,11 @@ If you use MegaPixels or any data derived from it for your work, please cite our title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets}, year = 2019, url = {https://megapixels.cc/}, - urldate = {2019-04-20} + urldate = {2019-04-18} } </pre> + + +##### Contact + +Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
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