"Computers have been getting better and better at seeing movement on video. How is it that they read lips, follow a dancing girl or copy an actor making faces?"
– from Andrew Blake. Introduction to Active Contours and Visual Dynamics. Visual Dynamics Group, Department of Engineering Science, University of Oxford
A prominent group of researchers alarmed by the harmful social effects of artificial intelligence called Thursday for a ban on automated analysis of facial expressions in hiring and other major decisions. The AI Now Institute at New York University said action against such software-driven "affect recognition" was its top priority because science doesn't justify the technology's use and there is still time to stop widespread adoption. The group of professors and other researchers cited as a problematic example the company HireVue, which sells systems for remote video interviews for employers such as Hilton and Unilever. It offers AI to analyse facial movements, tone of voice and speech patterns, and doesn't disclose scores to the job candidates. The nonprofit Electronic Privacy Information Center has filed a complaint about HireVue to the US Federal Trade Commission, and AI Now has criticised the company before.
BANGKOK (Thomson Reuters Foundation) - The use of facial recognition technology at a popular Indian cafe chain that triggered a backlash among customers, led to calls from human rights advocates on Monday for the government to speed up the introduction of laws to protect privacy. Customers at Chaayos took to social media during the last week to complain about the camera technology they said captured images of them without their consent, with no information on what the data would be used for, and no option to opt out. While the technology is marketed as a convenience, the lack of legislative safeguards to protect against the misuse of data can lead to "breaches of privacy, misidentification and even profiling of individuals", said Joanne D'Cunha, associate counsel at Internet Freedom Foundation, a digital rights group. "Until India introduces a comprehensive data protection law that provides such guarantees, there needs to be a moratorium on any technology that would infringe upon an individual's right to privacy and other rights that stem from it," she told the Thomson Reuters Foundation from New Delhi. A statement from Chaayos said the technology was being tested in select cafes and was aimed at reducing purchase times for customers.
Facial recognition is being widely embraced as a security tool -- law enforcement and corporations alike are rolling it out to keep tabs on who's accessing airports, stores, and smartphone lock screens. As it turns out, the technology is fallible. Researchers with the AI firm Kneron were able to fool facial recognition systems at banks, border crossing checkpoints, and airports using a printed mask depicting a different person's face, they announced Thursday. Researchers tested facial recognition across three continents. They successfully fooled payment tablets run by Chinese companies Alipay and WeChat, as well as a border crossing checkpoint in China.
With face recognition software taking over the world, every business wants to have a feature in their application that can detect and infer useful information from a picture or video to complement their product and services. Using proven, highly scalable, deep learning technologies that require no machine learning expertise to use, Amazon Rekognition makes it easy to add image and video analysis to your application. You can identify objects, people, text, scenes, and activities in images and videos as well as detect any offensive content. It also offers highly accurate facial recognition and facial search capabilities that you can use to identify, evaluate and compare faces for a wide range of cases of user authentication, counting of individuals, and public safety.
While the Trump administration scrapped a proposed rule to use facial recognition to identify all people entering and leaving the United States, in other areas the federal government is embracing an expanded use of the technology despite privacy concerns. Let's face it – facial recognition isn't going anywhere. Whether we realize it or not, most of use some type of facial technology software every day. It's being widely used in shopping, home security, and law enforcement, and millions of us use it constantly to open our smart phones. But privacy advocates and civil libertarians are raising alarms about the growing use of facial recognition technology by the federal government under President Trump.
INDIA'S government wants to build one of the largest facial recognition systems in the world. But critics warn it could be a blow to citizens' rights. The country's National Crime Records Bureau (NCRB) has invited bids to develop a nationwide facial recognition system that can automatically identify people from CCTV feeds and images uploaded through a mobile app. The NCRB says it will help police catch criminals, find missing people and identify dead bodies. The technology works by scanning the structure of people's faces and comparing the results …
Human faces evolved to be highly distinctive; it's helpful to be able to recognize individual members of one's social group and quickly identify strangers, and that hasn't changed for hundreds of thousands of years. Then in just the past five years, the meaning of the human face has quietly but seismically shifted. That's because researchers at Facebook, Google, and other institutions have nearly perfected techniques for automated facial recognition. The result of that research is that your face isn't just a unique part of your body anymore, it's biometric data that can be copied an infinite number of times and stored forever. In this video, we explain how facial recognition technology works, where it came from, and what's at stake.
SAN FRANCISCO: Facebook's artificial intelligence (AI) research team has developed a tool that tricks the facial recognition system to wrongly identify a person in a video, the media reported. The "de-identification" system, which also works in live videos, uses machine learning to change key facial features of a subject in a video, according to a report in VentureBeat on Friday. "Face recognition can lead to loss of privacy and face replacement technology may be misused to create misleading videos," reads a paper explaining the company's approach, as cited by VentureBeat. This de-identification technology earlier worked mostly for still images, The Verge reported. "Recent world events concerning advances in, and abuse of face recognition technology invoke the need to understand methods that deals with de-identification. Our contribution is the only one suitable for video, including live video, and presents quality that far surpasses the literature methods," said the paper.
OSAKA – Osaka Metro Co. showed a next-generation automated ticket gate with a facial recognition system to the media Monday. Aiming to introduce such gates at all of its train stations in fiscal 2024, ahead of the 2025 World Expo in the city of Osaka, the subway operator will start testing the gates Tuesday with some 1,200 employees. Through the test, the Osaka-based company hopes to identify problems and make improvements. This will be the first such test by a Japanese railway operator, according to Osaka Metro. The test, which is set to run through September 2020, will be conducted at four stations: Dome-mae Chiyozaki, Morinomiya, Dobutsuen-mae and Daikokucho.