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Category: privacy – Page 11

Facebook, Citing Societal Concerns, Plans to Shut Down Facial Recognition System

Facebook plans to shut down its decade-old facial recognition system this month, deleting the face scan data of more than one billion users and effectively eliminating a feature that has fueled privacy concerns, government investigations, a class-action lawsuit and regulatory woes.

Jerome Pesenti, vice president of artificial intelligence at Meta, Facebook’s newly named parent company, said in a blog post on Tuesday that the social network was making the change because of “many concerns about the place of facial recognition technology in society.” He added that the company still saw the software as a powerful tool, but “every new technology brings with it potential for both benefit and concern, and we want to find the right balance.”

The decision shutters a feature that was introduced in December 2010 so that Facebook users could save time. The facial-recognition software automatically identified people who appeared in users’ digital photo albums and suggested users “tag” them all with a click, linking their accounts to the images. Facebook now has built one of the largest repositories of digital photos in the world, partly thanks to this software.

Alphabet CEO Sundar Pichai calls for federal tech regulation, investments in cybersecurity

In a wide-ranging interview at the WSJ Tech Live conference that touched on topics like the future of remote work, AI innovation, employee activism and even misinformation on YouTube, Alphabet CEO Sundar Pichai also shared his thoughts on the state of tech innovation in the U.S. and the need for new regulations. Specifically, Pichai argued for the creation of a federal privacy standard in the U.S., similar to the GDPR in Europe. He also suggested it was important for the U.S. to stay ahead in areas like AI, quantum computing and cybersecurity, particularly as China’s tech ecosystem further separates itself from Western markets.

In recent months, China has been undergoing a tech crackdown, which has included a number of new regulations designed to combat tech monopolies, limit customer data collection and create new rules around data security, among other things. Although many major U.S. tech companies, Google included, don’t provide their core services in China, some who did are now exiting — like Microsoft, which just this month announced its plan to pull LinkedIn from the Chinese market.

Pichai said this sort of decoupling of Western tech from China may become more common.

Moscow Metro launches pay per face recognition | DW News

Passengers on the Moscow metro can now pay for their commute using facial recognition technology. The system is called “Face Pay” — and connects passengers’ biometric data with their credit cards.
It’s been rolled out across all 241 stations in the Russian capital — but privacy activists are sounding the alarm.

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AI Weekly: EU facial recognition ban highlights need for U.S. legislation

This week, The European Parliament, the body responsible for adopting European Union (EU) legislation, passed a non-binding resolution calling for a ban on law enforcement use of facial recognition technology in public places. The resolution, which also proposes a moratorium on the deployment of predictive policing software, would restrict the use of remote biometric identification unless it’s to fight “serious” crime, such as kidnapping and terrorism.

The approach stands in contrast to that of U.S. agencies, which continue to embrace facial recognition even in light of studies showing the potential for ethnic, racial, and gender bias. A recent report from the U.S. Government Accountability Office found that 10 branches including the Departments of Agriculture, Commerce, Defense, and Homeland Security plan to expand their use of facial recognition between 2020 and 2023 as they implement as many as 17 different facial recognition systems.

Commercial face-analyzing systems have been critiqued by scholars and activists alike throughout the past decade, if not longer. The technology and techniques — everything from sepia-tinged film to low-contrast digital cameras — often favor lighter skin, encoding racial bias in algorithms. Indeed, independent benchmarks of vendors’ systems by the Gender Shades project and others have revealed that facial recognition technologies are susceptible to a range of prejudices exacerbated by misuse in the field. For example, a report from Georgetown Law’s Center on Privacy and Technology details how police feed facial recognition software flawed data, including composite sketches and pictures of celebrities who share physical features with suspects.

An Automated System for Crime Investigation Using Conventional and Machine Learning Approach

Circa 2019

Crime causes significant damage to the society and property. Different kinds of physical or direct methods are devised by the law and order department to spot out the criminals involved in the crime. This techniques will explore the evidences at crime site. For instance if it finds a fingerprint then the system will capture and send it to forensic department for fingerprint matching, which can be later used for identifying the suspects or criminals by investigations etc. Yet, it is a huge challenge for them to find the criminal due to less or no evidence and incorrect information, which can change the direction of investigation to the end. This paper proposes a data analysis approach to help the police department by giving them first-hand information about the suspects. It automates the manual process for finding criminal and future crime spot by using various techniques such as pattern matching, biometric and crime analytics. Based on the availability of information, the system is able to produce the expected accuracy.

EU data watchdogs want ban on AI facial recognition

The EU’s data protection agencies on Monday called for an outright ban on using artificial intelligence to identify people in public places, pointing to the “extremely high” risks to privacy.

In a non-binding opinion, the two bodies called for a “general ban” on the practice that would include “recognition of faces, gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioural signals, in any context”.

Such practices “interfere with and freedoms to such an extent that they may call into question the essence of these rights and freedoms,” the heads of the European Data Protection Board and the European Data Protection Supervisor said.

Samsung shows off stretchable OLED screen in prototype heart rate monitor

Forget flexible, get stretchable.

We’ve had curved displays for a while now, but what about stretchy ones? Samsung says it’s making progress building screens “that can be stretched in all directions like rubber bands,” and that the first applications for this material could be in building flexible health tech.

The company’s researchers recently created an OLED display that can be stretched by up to 30 percent while operating as normal. As a proof of concept, engineers integrated this display into a stretchable heart rate monitor that can be stuck onto the skin like a Band-Aid.

“The strength of this technology is that it allows you to measure your biometric data for a longer period without having to remove the solution when you sleep or exercise, since the patch feels like part of your skin,” Samsung’s Youngjun Yun said of the prototype technology in a press statement. “You can also check your biometric data right away on the screen without having to transfer it to an external device.”

Exyn Brings Level 4 Autonomy to Drones

Fully autonomous exploration and mapping of the unknown is a cutting-edge capability for commercial drones.

Drone autonomy is getting more and more impressive, but we’re starting to get to the point where it’s getting significantly more difficult to improve on existing capabilities. Companies like Skydio are selling (for cheap!) commercial drones that have no problem dynamically path planning around obstacles at high speeds while tracking you, which is pretty amazing, and it can also autonomously create 3D maps of structures. In both of these cases, there’s a human indirectly in the loop, either saying “follow me” or “map this specific thing.” In other words, the level of autonomous flight is very high, but there’s still some reliance on a human for high-level planning. Which, for what Skydio is doing, is totally fine and the right way to do it.

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