{"id":50703,"date":"2021-10-05T16:27:37","date_gmt":"2021-10-05T13:27:37","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=50703"},"modified":"2025-09-02T19:45:52","modified_gmt":"2025-09-02T16:45:52","slug":"clearview-ai-unveils-mask-aware-facial-recognition-feature","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/clearview-ai-unveils-mask-aware-facial-recognition-feature\/","title":{"rendered":"Clearview AI unveils mask-aware facial recognition feature"},"content":{"rendered":"

The startup Clearview AI, developer of the controversial facial-recognition tool, has boosted its pool of processed images to more than 10 billion and announced a range of new features. This was disclosed by the company’s chief executive Hoan Ton-That in an interview WIRED<\/a>.<\/p>\n

He said the images in the facial-recognition database were copied from open sources. Ton-That added that the company is developing a range of new features based on machine learning, including deblurring and mask-removal tools.<\/p>\n

The first uses AI to upscale low-quality images and add extra details.<\/p>\n

The mask-removal function uses statistical patterns detected in other images to guess how a person might look beneath it.<\/p>\n

According to MIT professor Alexander Madry, such tools will not yield high predictive accuracy.<\/p>\n

\n

\\”And beyond accuracy, without careful control over the data set and the training process, I would expect the emergence of many unintended biases [by the algorithm],\\” he said.<\/p>\n<\/blockquote>\n

Madry added that the use of such systems threatens the rights of people who masked themselves to participate in peaceful protest or to protect privacy.<\/p>\n

Ton-That replied to critics that \\”the software cannot arrest anyone by itself\\”. However, enhanced images should be treated with particular caution during result verification, he added.<\/p>\n

\n

\\”I want this technology to always be under human control. When AI errs, it should be checked by humans,\\” Ton-That said.<\/p>\n<\/blockquote>\n

As reported in January 2020, The New York Times published an investigation into Clearview AI, which developed the facial-recognition system and granted access to hundreds of law-enforcement departments in the United States.<\/p>\n

In February 2021, Canadian authorities accused the company of illegal data collection.<\/p>\n

In April, an American senator proposed at the legislative level to ban government agencies from purchasing Clearview AI data<\/a> without a court order.<\/p>\n

In May, European rights advocates filed complaints against the facial-recognition system developer<\/a>.<\/p>\n

In July, Clearview AI raised $30 million<\/a> in a Series C round.<\/p>\n

Subscribe to ForkLog news on Telegram: ForkLog AI<\/a> \u2014 all the news from the world of AI!<\/p>\n","protected":false},"excerpt":{"rendered":"

The startup Clearview AI, known for its controversial facial-recognition tool, has increased its pool of processed images to more than 10 billion and announced a range of new features. This was disclosed by the company’s chief executive Hoan Ton-That.<\/p>\n","protected":false},"author":1,"featured_media":50704,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,2171,1515],"class_list":["post-50703","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-clearview-ai","tag-tracking"],"aioseo_notices":[],"amp_enabled":true,"views":"26","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/50703","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/comments?post=50703"}],"version-history":[{"count":1,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/50703\/revisions"}],"predecessor-version":[{"id":50705,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/50703\/revisions\/50705"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media\/50704"}],"wp:attachment":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media?parent=50703"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/categories?post=50703"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/tags?post=50703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}