To improve Google’s Pixel 4 face unlocking, Google suppliers are starting to wander
Google’s Pixel 4 Face Unlock Feature May Be Faster Than Face ID
In July of this year, Google admitted to improving the face recognition unlocking function of its mobile phone Pixel 4 and sent employees to find people who are willing to sell their face data for $5 gift vouchers on the streets of many cities in the United States.
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However, according to the latest report in The New York Times, an upstream provider of Google may use some suspicious methods for face scanning, including a group of college students who are homeless and do not understand privacy protection.
According to sources involved in the project, a supplier named Randstad clearly sent the team to Atlanta, with the homeless and dark-skinned people as the main target; but the company never said that Google did not mention that face data was collected.
A source told The Daily News that Google doesn’t necessarily know the source of Randstad’s face data, but a Google executive has actually instructed the company to collect facial data from people with darker skin.
The foreign media Theverge posted some news:
- “The reason why they target the homeless is that those people are least likely to have access to the media pipeline, and the homeless do not know what happened.”
- “Someone told them that the process of collecting facial data by scanning facial features is similar to Snapchat’s “self-timer game”, and employees will say, “play a mobile phone for a few minutes, you can get a gift voucher”, “We have a The new app will get a $5 voucher after trial. 』”
- Another former TVC said that the California team was specifically made clear that state law stipulated that gift vouchers of less than $10 could be exchanged for cash.
In addition, the report pointed to the alleged use of a device for capturing facial data—a phone that was mounted in a metal frame and used to tamper with test stickers and security screw seals.
It’s worth pointing out that Google wants to test its new face unlocking feature in people of color for legitimate reasons: face recognition technology should not be lacking in data and experience poorly when used by people of color. For this reason, Apple also collected a large amount of face data before the face ID was launched.
This is not a bad thing in terms of reason and purpose, but whether it requires extraordinary means or even extreme methods in this process is still worth considering.
So far, Google and Randstad have not commented on this matter.
Privacy has always been a sensitive topic. That’s why technology companies are also talking about the importance of protecting user privacy and data security while talking about AI applications. However, the EU General Data Protection Regulations (GDPR), which came into effect last May, strictly regulate the way companies collect, control and process personal data from a user perspective, but many people are still worried about whether the bill will develop for the EU. AI technology is a hindrance.
Jeff Cao, a senior researcher at Tencent Research Institute, once said: “In view of the importance and potential impact of these technologies, it is not difficult to imagine that AI and big data are leading us into an algorithmic society in which data and algorithms drive us.
The machines that the world depends on. However, algorithms are also very difficult to understand, so the algorithm-driven social change is also full of risks. Under this risk, it is necessary to formulate laws and ethics for the proper application and use of artificial intelligence, and potential Precautions for misuse. European countries have already begun this process.”
Consumers sacrifice privacy for profit, which is inconsistent with how companies use user data to improve their algorithms. In fact, companies are now not only proactively building business models around their needs, but also sharing their personal data with authorities.
In the United States last June, the Orlando Police Department used Amazon’s Rekognition’s face recognition technology to test. Despite this, it has been criticized by the media for infringing on user privacy. At the ethical level of AI technology application, consumers can get some kind of benefit, but the cost sometimes seems unpredictable. Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4Google’s Pixel 4 Google’s Pixel 4Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4Google’s Pixel 4 Google’s Pixel 4 Google’s Pixel 4