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37 bytes added ,  12:16, 24 October 2018
The incident points to the problem tech companies face as computers get smarter and are expected to take on more more tasks a human normally would do. Those areas of computer science -- such as artificial intelligence or machine learning -- are some of the biggest engineering focuses in Silicon Valley. But ''with that focus comes another task that computers have not traditionally tackled: grappling with the challenge of sensitivity''
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=== [http://internet.gawker.com/flickrs-auto-tagging-feature-accidentally-labeled-a-bla-1706045425 Flickr's Auto-Tagging Feature Accidentally Labeled a Black Man "Ape"]
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<p>Search for “ape” on Flickr and you’ll witness an endlessly scrolling cavalcade of primate photography, from monkeys glimpsed on safari to those held in captivity at the zoo. Until recently, you’d also see <a href="https://www.flickr.com/photos/thirteenthfloormedia/14570569401">a portrait of a middle-aged black man</a> named William. Flickr thought William was an ape, too.</p>
<p>All of the offending examples listed here have since been corrected, though the two portraits are still labeled with “animal,” which is I suppose technically accurate. And users can manually remove bad auto-tags from their pictures. As the <em>Guardian </em>notes, Flickr appears to have wisely removed “ape” entirely from its auto-tagger’s list of choices. Maybe leave this stuff to humans with eyes next time. </p>
</blockquote>* [http://www.theguardian.com/technology/2015/jul/01/google-sorry-racist-auto-tag-photo-app Google says sorry for racist auto-tag in photo app]  
=== [http://money.cnn.com/2015/05/21/technology/flickr-racist-tags/ Flickr's new auto-tags are racist and offensive | CNN Money]===
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