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diff --git a/site/public/research/00_introduction/index.html b/site/public/research/00_introduction/index.html index 43f95d2a..353e3270 100644 --- a/site/public/research/00_introduction/index.html +++ b/site/public/research/00_introduction/index.html @@ -41,7 +41,12 @@ </div> </section> - <section><div class='meta'><div><div class='gray'>Posted</div><div>Dec. 15</div></div><div><div class='gray'>Author</div><div>Adam Harvey</div></div></div><section><section><h3>Motivation</h3> + <section><div class='meta'><div><div class='gray'>Posted</div><div>Dec. 15</div></div><div><div class='gray'>Author</div><div>Adam Harvey</div></div></div><section><section><p>Facial recognition is a scam.</p> +<p>During the last 20 years commericial, academic, and governmental agencies have promoted the false dream of a future with face recognition. This essay debunks the popular myth that such a thing ever existed.</p> +<p>There is no such thing as <em>face recognition</em>. For the last 20 years, government agencies, commercial organizations, and academic institutions have played the public as a fool, selling a roadmap of the future that simply does not exist. Facial recognition, as it is currently defined, promoted, and sold to the public, government, and commercial sector is a scam.</p> +<p>Committed to developing robust solutions with superhuman accuracy, the industry has repeatedly undermined itself by never actually developing anything close to "face recognition".</p> +<p>There is only biased feature vector clustering and probabilistic thresholding.</p> +<h3>Motivation</h3> <p>Ever since government agencies began developing face recognition in the early 1960's, datasets of face images have always been central to developing and validating face recognition technologies. Today, these datasets no longer originate in labs, but instead from family photo albums posted on photo sharing sites, surveillance camera footage from college campuses, search engine queries for celebrities, cafe livestreams, or <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">videos on YouTube</a>.</p> <p>During the last year, hundreds of these facial analysis datasets created "in the wild" have been collected to understand how they contribute to a global supply chain of biometric data that is powering the global facial recognition industry.</p> <p>While many of these datasets include public figures such as politicians, athletes, and actors; they also include many non-public figures: digital activists, students, pedestrians, and semi-private shared photo albums are all considered "in the wild" and fair game for research projects. Some images are used with creative commons licenses, yet others were taken in unconstrained scenarios without awareness or consent. At first glance it appears many of the datasets were created for seemingly harmless academic research, but when examined further it becomes clear that they're also used by foreign defense agencies.</p> @@ -80,11 +85,10 @@ <footer> <div> <a href="/">MegaPixels.cc</a> - <a href="/about/disclaimer/">Disclaimer</a> - <a href="/about/terms/">Terms of Use</a> - <a href="/about/privacy/">Privacy</a> + <a href="/datasets/">Datasets</a> <a href="/about/">About</a> - <a href="/about/team/">Team</a> + <a href="/about/press/">Press</a> + <a href="/about/legal/">Legal and Privacy</a> </div> <div> MegaPixels ©2017-19 Adam R. Harvey / |