Amazon Web Services CEO Andy Jassy discusses fresh cloud solutions in AWS re:Invent 2017. Amazon Rekognition is a image-recognition service introduced by AWS at 2016 and improved to deal with movie recognition this past year in AWS re:Invent 2017. RELATED: New machine-learning providers out of Amazon Web Services include video recognition, transcription AWS hasn’t exactly tried to hide its job with Washington County, publishing a case study annually describing how Rekognition is utilized to identify “persons of interest” from the county. In one instance, Washington County utilized Rekognition to identify a shoplifter by uploading a photo of him by the shop checkout line to your dataset of all mugshots from people arrested in the county dating back to 2001, tracking the suspect on Facebook after the department got four picture effects with over 80 percent similarity. “Amazon Rekognition has come to be a potent instrument for identifying suspects for my service,” wrote Chris Adzmia, senior information systems analyst for Washington County, from the case research. That’s pretty much precisely what the ACLU is worried about, especially given the ease at which anybody can be potentially identified as a “suspect” in this day and age. “Amazon also encourages the use of Rekognition to track ‘people of curiosity,’ increasing the chance that those labeled questionable by authorities — such as undocumented immigrants or Dark activists — would be targeted for Rekognition surveillance,” it wrote in the letter to Bezos. AWS released the next announcement, the latter third of which made my eyes roll: Amazon demands that customers comply with regulations and be accountable when they employ AWS services. As soon as we discover that AWS providers are being abused by a client, we suspend that client’s right to use our providers. Amazon Rekognition is a technology that helps automate understanding people, items, and activities in movie and photographs based on inputs supplied by the customer. By way of instance, if the client supplied pictures of a chair, Rekognition might help find other chair pictures in a library of photographs uploaded by the client. As a technology, Amazon Rekognition has many helpful applications in the real world (e.g. numerous bureaus have utilized Rekognition to find abducted people, entertainment parks use Rekognition to find lost kids, the Royal Wedding that just occurred last weekend utilized Rekognition to identify wedding attendees, etc.). And, the usefulness of AI solutions such as this will only increase as more companies begin using innovative technologies such as Amazon Rekognition. Our quality of life would be far worse now if we outlawed fresh technologies because some individuals could decide to abuse the technology. Imagine if customers couldn’t buy a computer because it was possible to use that computer for illegal purposes? Like any of our AWS solutions, we need our customers to abide by the law and also be accountable when utilizing Amazon Rekognition. The correspondence comes as Google workers are now raising a fuss about their company’s utilization of machine-learning technologies with military customers. Many Googlers resigned in protest of the organization’s Project Maven contract with the Department of Defense, along with tens of thousands of other signed a petition requesting Google to cancel the contract. (Editor’s note: This post has been updated with a statement from AWS.)

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