From 092d47ca0a005e5700bee86ec72e2206acdc5fc1 Mon Sep 17 00:00:00 2001
From: adamhrv <adam@ahprojects.com>
Date: Mon, 11 Mar 2019 12:08:49 +0100
Subject: text edits

---
 site/content/pages/about/index.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

(limited to 'site/content/pages')

diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index daeb6dd5..5738d5ce 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -35,8 +35,6 @@ MegaPixels is art and research by <a href="https://ahprojects.com">Adam Harvey</
 
 The MegaPixels website is produced in partnership with [Mozilla](https://mozilla.org) who provided funding to research the datasets, build the site, and develop tools to help you understand the role these datasets have played in creating biometric surveillance technologies. 
 
-The MegaPixels site is based on an earlier [installation](https://ahprojects.com/megapixels-glassroom) (also supported by Mozilla) at the [Tactical Tech Glassroom](https://theglassroom.org/) in London in 2017; and a commission from the Elevate arts festival curated by Berit Gilma about pedestrian recognition datasets in 2018, and research during [CV Dazzle](https://cvdazzle.com) from 2010-2015. Through the many prototypes, conversations, pitches, PDFs, and false starts this project has endured during the last 5 years, it eventually evolved into something much different than originally imagined. Now, as datasets become increasingly influential in shaping the computational future, it's clear that they must be critically analyzed to understand the biases, shortcomings, funding sources, and contributions to the surveillance industry. However, it's misguided to only criticize these datasets for their flaws without also praising their contribution to society. Without publicly available facial analysis datasets there would be less public discourse, less open-source software, and less peer-reviewed research. Public datasets can indeed become a vital public good for the information economy but as this projects aims to illustrate, many ethical questions arise about consent, intellecture property, surveillance, and privacy.
-
 
 ### MegaPixels Team
 
@@ -47,4 +45,8 @@ The MegaPixels site is based on an earlier [installation](https://ahprojects.com
 
 ### Additional Researchers
 
-Additional research by Berit Gilma.
\ No newline at end of file
+Additional research by Berit Gilma.
+
+### Project History
+
+The MegaPixels site is based on an earlier [installation](https://ahprojects.com/megapixels-glassroom) (also supported by Mozilla) at the [Tactical Tech Glassroom](https://theglassroom.org/) in London in 2017; and a commission from the Elevate arts festival curated by Berit Gilma about pedestrian recognition datasets in 2018, and research during [CV Dazzle](https://cvdazzle.com) from 2010-2015. Through the many prototypes, conversations, pitches, PDFs, and false starts this project has endured during the last 5 years, it eventually evolved into something much different than originally imagined. Now, as datasets become increasingly influential in shaping the computational future, it's clear that they must be critically analyzed to understand the biases, shortcomings, funding sources, and contributions to the surveillance industry. However, it's misguided to only criticize these datasets for their flaws without also praising their contribution to society. Without publicly available facial analysis datasets there would be less public discourse, less open-source software, and less peer-reviewed research. Public datasets can indeed become a vital public good for the information economy but as this projects aims to illustrate, many ethical questions arise about consent, intellectual property, surveillance, and privacy.
\ No newline at end of file
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