Amazon Employees To Jeff Bezos: Stop Selling Facial Recognition Tech To ICE

International Business Times

Amazon's operation has grown well beyond merely delivering items to people's homes. Jeff Bezos's massive corporation is now involved in everything from grocery shopping to fashion, but the recent revelation that Amazon technology assists law enforcement is a bridge too far for some employees. A group of Amazon employees (referred to as Amazonians) penned a letter to Bezos on Thursday asking the billionaire CEO to halt the sale of facial recognition technology to law enforcement agencies, The Hill reported. The software, called Amazon Web Services Rekognition, has been linked to government agencies like the controversial Immigration and Customs Enforcement, or ICE. The letter cited the United States government's history of injustice towards minorities in calling for Amazon to stop assisting ICE.


Amazon employees plan to confront Jeff Bezos about controversial facial recognition technology

Daily Mail

Amazon employees plan to take CEO Jeff Bezos to task about the firm's controversial facial recognition software, Rekognition. The tech giant will host an all-staff meeting on Thursday and it's there that employees will flood executives with questions about Rekognition, as well as why Amazon continues work with immigration authorities, according to Recode. Pressure has been mounting for Amazon to cancel its contracts with ICE and law enforcement agents, which allow them to test out the facial recognition technology. Amazon employees plan to take CEO Jeff Bezos (pictured) to task at an all-hands meeting on Thursday about the firm's controversial facial recognition software, Rekognition Amazon lets employees submit their questions for Bezos and other executives beforehand using an online form. They then go through the list and decide on which questions to answer.


Orlando ends Amazon facial recognition program over privacy concerns

Daily Mail

Florida has stopped testing Amazon's facial recognition program after rights groups raised concerns that the service could be used in ways that could violate civil liberties. Orlando ended a pilot program last week after its contract with Amazon.com Inc to use its Rekognition service expired. 'Partnering with innovative companies to test new technology - while also ensuring we uphold privacy laws and in no way violate the rights of others - is critical to us as we work to further keep our community safe,' the city and the Orlando Police Department said in a joint statement Monday. Orlando was one of several U.S. jurisdictions that Amazon has pitched its service to since unveiling it in late 2016 as a way to detect offensive content and secure public safety.


Build Your Own Text-to-Speech Applications with Amazon Polly

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You can't just assume that when an application reads each letter of a sentence that the output will make sense. Amazon Polly provides speech synthesis functionality that overcomes those challenges, allowing you to focus on building applications that use text-to-speech instead of addressing interpretation challenges. Amazon Polly turns text into lifelike speech. It lets you create applications that talk naturally, enabling you to build entirely new categories of speech-enabled products. Amazon Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.


Build Your Own Face Recognition Service Using Amazon Rekognition Amazon Web Services

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Amazon Rekognition is a service that makes it easy to add image analysis to your applications. It's based on the same proven, highly scalable, deep learning technology developed by Amazon's computer vision scientists to analyze billions of images daily for Amazon Prime Photos. Facial recognition enables you to find similar faces in a large collection of images. In this post, I'll show you how to build your own face recognition service by combining the capabilities of Amazon Rekognition and other AWS services, like Amazon DynamoDB and AWS Lambda. This enables you to build a solution to create, maintain, and query your own collections of faces, be it for the automated detection of people within an image library, building access control, or any other use case you can think of.