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diff --git a/site/content/pages/research/munich_security_conference/index.md b/site/content/pages/research/munich_security_conference/index.md index c4c6a70c..5c153bc9 100644 --- a/site/content/pages/research/munich_security_conference/index.md +++ b/site/content/pages/research/munich_security_conference/index.md @@ -44,7 +44,7 @@ Next we manually verified 1,134 publicly available research papers that cite the ``` single_pie_chart /site/research/munich_security_conference/assets/megapixels_origins_top.csv -Caption: Sources of Publicly Available Non-Cooperative Face Image Training Data 2006 - 2018 +Caption: Sources of Publicly Available Face Image Training Data 2006 - 2018 Top: 10 OtherLabel: Other ``` @@ -60,9 +60,9 @@ OtherLabel: Other === end columns -### 6,000 Embassy Photos Being Used To Train Facial Recognition +### Over 6,000 Embassy Photos Found in Facial Recognition Training Datasets -Of the 5.8 million Flickr images we found over 6,000 public photos from Embassy Flickr accounts were used to train facial recognition technologies. These images were used in the MegaFace and IBM Diversity in Faces datasets. Over 2,000 more images were included in the Who Goes There dataset, used for facial ethnicity analysis research. A few of the embassy images found in facial recognition datasets are shown below. +Of the 5.8 million Flickr images in publicly available face recognition training datasets there were over 6,000 photos from Embassy Flickr accounts. These images were mainly used in the MegaFace and IBM Diversity in Faces datasets. Over 2,000 more images were included in the Who Goes There dataset, used for facial ethnicity analysis research for a total over 8,000 embassy images used in facial analysis studies. A few of the embassy images found in facial recognition datasets are shown below. === columns 2 @@ -91,6 +91,9 @@ Colors: categoryRainbow  + + + This brief research aims to shed light on the emerging politics of data. A photo is no longer just a photo when it can also be surveillance training data, and datasets can no longer be separated from the development of software when software is now built with data. "Our relationship to computers has changed", says Geoffrey Hinton, one of the founders of modern day neural networks and deep learning. "Instead of programming them, we now show them and they figure it out."[^hinton]. @@ -116,6 +119,9 @@ load_file /site/research/munich_security_conference/assets/embassy_counts_public Headings: Images, Dataset, Embassy, Flickr ID, URL, Guest, Host ``` + +The list of of embassies used for this analysis are from the [U.S. Department of State’s Social Media Presence List](https://www.state.gov/global-social-media-presence/) combined with manual search results. In some cases, the official U.S. Dept. of State list describes consulates and missions as embassies. For example, the US Consulate Munich, the US Mission Canada and is marked as "EMBASSY". Only consulates and missions listed as embassies by the U.S. Dept. of State list are included in this analysis. + {% include 'cite_our_work.html' %} ### Footnotes |